Triple
T16506707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landsat 9 |
E400949
|
entity |
| Predicate | instrument |
P792
|
FINISHED |
| Object | TIRS-2 |
E1212850
|
NE FINISHED |
How this triple was built (2 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: TIRS-2 | Statement: [Landsat 9, instrument, TIRS-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIRS-2 Context triple: [Landsat 9, instrument, TIRS-2]
-
A.
TIRS
chosen
TIRS is a thermal infrared imaging instrument used on satellites like Landsat 8 to measure Earth's surface temperature and support environmental monitoring.
-
B.
Resourcesat-2
Resourcesat-2 is an Indian Earth observation satellite designed to provide high-resolution, multi-spectral imagery for applications such as agriculture, land use mapping, and natural resource management.
-
C.
Gaofen-2
Gaofen-2 is a Chinese high-resolution Earth observation satellite used for detailed land imaging, resource monitoring, and disaster assessment.
-
D.
Resourcesat-1
Resourcesat-1 is an Indian Earth observation satellite designed to provide high-resolution, multi-spectral imagery for natural resource monitoring and management.
-
E.
GPM Core Observatory satellite
The GPM Core Observatory satellite is a joint NASA–JAXA mission that serves as the centerpiece of the Global Precipitation Measurement program, providing highly accurate, global observations of rain and snow to improve weather forecasting and climate research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e52a2b48190ae715e7db0fd3aad |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005832bcb48190a905ee7c9bff2c5b |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.