Triple
T2373169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRS series |
E46134
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | RISAT-2 |
E260016
|
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: RISAT-2 | Statement: [IRS series, hasMember, RISAT-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RISAT-2 Context triple: [IRS series, hasMember, RISAT-2]
-
A.
RISAT series satellites
chosen
The RISAT series satellites are India’s radar imaging Earth observation spacecraft designed for all-weather, day-and-night surveillance and reconnaissance.
-
B.
Resourcesat-1
Resourcesat-1 is an Indian Earth observation satellite designed to provide high-resolution, multi-spectral imagery for natural resource monitoring and management.
-
C.
INSAT-3DR
INSAT-3DR is an Indian geostationary weather satellite designed to provide advanced meteorological observations, search and rescue services, and data relay capabilities.
-
D.
INSAT-4CR
INSAT-4CR is an Indian communications satellite in the INSAT series, launched by ISRO to provide telecommunication and broadcasting services.
-
E.
INSAT-2D
INSAT-2D was an Indian geostationary communications and meteorological satellite in the INSAT-2 series, used for telecommunications, broadcasting, and weather 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc772bc6081908244e9af4bbe645f |
completed | March 7, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0559d1e708190bc8d28ed3706ae23 |
completed | March 10, 2026, 5:32 p.m. |
Created at: March 4, 2026, 7:56 p.m.