Triple
T16430870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thermal Infrared Sensor |
E399066
|
entity |
| Predicate | dataProduct |
P3585
|
FINISHED |
| Object |
Landsat 8 TIRS Level-2 surface temperature
Landsat 8 TIRS Level-2 surface temperature is a satellite-derived geospatial product that provides atmospherically corrected land surface temperature measurements from the Landsat 8 Thermal Infrared Sensor at moderate spatial resolution.
|
E1212852
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Landsat 8 TIRS Level-2 surface temperature | Statement: [Thermal Infrared Sensor, dataProduct, Landsat 8 TIRS Level-2 surface temperature]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landsat 8 TIRS Level-2 surface temperature Context triple: [Thermal Infrared Sensor, dataProduct, Landsat 8 TIRS Level-2 surface temperature]
-
A.
Thermal Infrared Sensor
The Thermal Infrared Sensor (TIRS) is a Landsat 8 instrument that measures Earth’s thermal radiation to monitor surface temperature and support applications such as water management and climate studies.
-
B.
Advanced Spaceborne Thermal Emission and Reflection Radiometer
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a high-resolution imaging sensor on NASA’s Terra satellite used to map and monitor Earth’s surface temperature, elevation, and reflectance for scientific and environmental applications.
-
C.
Earth Radiation Budget Satellite
The Earth Radiation Budget Satellite was a NASA spacecraft designed to measure how much solar energy the Earth absorbs and radiates back into space, improving understanding of the planet’s climate system.
-
D.
AVHRR
AVHRR is a spaceborne radiometer used on polar-orbiting weather satellites to measure Earth’s surface and atmospheric properties across multiple spectral bands for meteorological and environmental monitoring.
-
E.
GISTEMP global surface temperature record
The GISTEMP global surface temperature record is NASA’s long-running dataset that tracks and analyzes changes in Earth’s average surface temperature over time to monitor global warming and climate trends.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Landsat 8 TIRS Level-2 surface temperature Triple: [Thermal Infrared Sensor, dataProduct, Landsat 8 TIRS Level-2 surface temperature]
Generated description
Landsat 8 TIRS Level-2 surface temperature is a satellite-derived geospatial product that provides atmospherically corrected land surface temperature measurements from the Landsat 8 Thermal Infrared Sensor at moderate spatial resolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Landsat 8 TIRS Level-2 surface temperature Target entity description: Landsat 8 TIRS Level-2 surface temperature is a satellite-derived geospatial product that provides atmospherically corrected land surface temperature measurements from the Landsat 8 Thermal Infrared Sensor at moderate spatial resolution.
-
A.
Thermal Infrared Sensor
The Thermal Infrared Sensor (TIRS) is a Landsat 8 instrument that measures Earth’s thermal radiation to monitor surface temperature and support applications such as water management and climate studies.
-
B.
Advanced Spaceborne Thermal Emission and Reflection Radiometer
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a high-resolution imaging sensor on NASA’s Terra satellite used to map and monitor Earth’s surface temperature, elevation, and reflectance for scientific and environmental applications.
-
C.
Earth Radiation Budget Satellite
The Earth Radiation Budget Satellite was a NASA spacecraft designed to measure how much solar energy the Earth absorbs and radiates back into space, improving understanding of the planet’s climate system.
-
D.
AVHRR
AVHRR is a spaceborne radiometer used on polar-orbiting weather satellites to measure Earth’s surface and atmospheric properties across multiple spectral bands for meteorological and environmental monitoring.
-
E.
GISTEMP global surface temperature record
The GISTEMP global surface temperature record is NASA’s long-running dataset that tracks and analyzes changes in Earth’s average surface temperature over time to monitor global warming and climate trends.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fe0f488190ac34aa677c980a20 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004584fa508190a85b1f79ecf9c258 |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00461390608190848c3b896042f1fd |
completed | May 10, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0046a88e048190baa78506808171b8 |
completed | May 10, 2026, 8:49 a.m. |
Created at: April 10, 2026, 5:10 a.m.