Triple
T11175976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INSAT-1C |
E264412
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | INSAT-1D |
E267327
|
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: INSAT-1D | Statement: [INSAT-1C, followedBy, INSAT-1D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INSAT-1D Context triple: [INSAT-1C, followedBy, INSAT-1D]
-
A.
INSAT-1D
chosen
INSAT-1D was an Indian geostationary meteorological and communications satellite in the first-generation INSAT-1 series, used for weather observation and telecommunication services.
-
B.
INSAT-1C
INSAT-1C was an Indian geostationary communications satellite in the first-generation INSAT-1 series, used for telecommunications, broadcasting, and meteorological services.
-
C.
INSAT-1B
INSAT-1B was an early Indian multipurpose geostationary satellite used for telecommunications, broadcasting, and meteorological services as part of the INSAT program.
-
D.
INSAT-2D
INSAT-2D was an Indian geostationary communications and meteorological satellite in the INSAT-2 series, used for telecommunications, broadcasting, and weather services.
-
E.
INSAT-1A
INSAT-1A was the first satellite in India’s INSAT series, designed to provide multipurpose telecommunications, meteorological, and broadcasting services.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509cd971c8190bdaa7b3c8a1f32f2 |
completed | April 19, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:29 p.m.