Triple
T18763930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAL HJT-36 Sitara |
E458844
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | HJT-36 |
—
|
NE NERFINISHED |
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: HJT-36 | Statement: [HAL HJT-36 Sitara, abbreviation, HJT-36]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HJT-36 Context triple: [HAL HJT-36 Sitara, abbreviation, HJT-36]
-
A.
HJT-36
chosen
HJT-36 is an Indian intermediate jet trainer aircraft developed by Hindustan Aeronautics Limited (HAL) to train military pilots in advanced flying and combat skills.
-
B.
GJ-16
GJ-16 is the vehicle registration code assigned to the Bharuch district in the Indian state of Gujarat.
-
C.
GJ-3
GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
-
D.
JFT-300M
JFT-300M is a massive proprietary image classification dataset containing around 300 million labeled images used to pretrain large-scale vision models.
-
E.
SH-364
SH-364 is the Oklahoma state highway designation for the Creek Turnpike, a toll road serving the Tulsa metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d82297c81909f720e2637cec737 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.