Triple
T11001821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRS-1A |
E260019
|
entity |
| Predicate | payload |
P12202
|
FINISHED |
| Object |
LISS-II sensor
The LISS-II sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
|
E900004
|
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: LISS-II sensor | Statement: [IRS-1A, payload, LISS-II sensor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LISS-II sensor Context triple: [IRS-1A, payload, LISS-II sensor]
-
A.
LISS-I sensor
The LISS-I sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
-
B.
LISS-I
LISS-I is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
-
C.
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.
-
D.
Linear Imaging Self-Scanning Sensor-I
Linear Imaging Self-Scanning Sensor-I (LISS-I) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution Earth observation data for applications such as land use, agriculture, and forestry.
-
E.
Laser Ranging Instrument
The Laser Ranging Instrument is a scientific device used to measure precise distances—such as between a spacecraft and a celestial body—by timing the travel of laser pulses.
- 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: LISS-II sensor Triple: [IRS-1A, payload, LISS-II sensor]
Generated description
The LISS-II sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LISS-II sensor Target entity description: The LISS-II sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
-
A.
LISS-I sensor
The LISS-I sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
-
B.
LISS-I
LISS-I is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
-
C.
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.
-
D.
Linear Imaging Self-Scanning Sensor-I
Linear Imaging Self-Scanning Sensor-I (LISS-I) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution Earth observation data for applications such as land use, agriculture, and forestry.
-
E.
Laser Ranging Instrument
The Laser Ranging Instrument is a scientific device used to measure precise distances—such as between a spacecraft and a celestial body—by timing the travel of laser pulses.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d760008190930228fa77b61b8b |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37486b23081909ad282397c50a913 |
completed | April 18, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 8, 2026, 9:25 p.m.