Triple
T18763928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAL HJT-36 Sitara |
E458844
|
entity |
| Predicate | aircraftFamily |
P1524
|
FINISHED |
| Object |
HJT-36
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.
|
E1341962
|
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: HJT-36 | Statement: [HAL HJT-36 Sitara, aircraftFamily, HJT-36]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HJT-36 Context triple: [HAL HJT-36 Sitara, aircraftFamily, HJT-36]
-
A.
GJ-16
GJ-16 is the vehicle registration code assigned to the Bharuch district in the Indian state of Gujarat.
-
B.
GJ-3
GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
-
C.
JFT-300M
JFT-300M is a massive proprietary image classification dataset containing around 300 million labeled images used to pretrain large-scale vision models.
-
D.
SH-364
SH-364 is the Oklahoma state highway designation for the Creek Turnpike, a toll road serving the Tulsa metropolitan area.
-
E.
GJ-24
GJ-24 is the vehicle registration code assigned to motor vehicles registered in Patan district of Gujarat, India.
- 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: HJT-36 Triple: [HAL HJT-36 Sitara, aircraftFamily, HJT-36]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HJT-36 Target entity description: 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.
-
A.
GJ-16
GJ-16 is the vehicle registration code assigned to the Bharuch district in the Indian state of Gujarat.
-
B.
GJ-3
GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
-
C.
JFT-300M
JFT-300M is a massive proprietary image classification dataset containing around 300 million labeled images used to pretrain large-scale vision models.
-
D.
SH-364
SH-364 is the Oklahoma state highway designation for the Creek Turnpike, a toll road serving the Tulsa metropolitan area.
-
E.
GJ-24
GJ-24 is the vehicle registration code assigned to motor vehicles registered in Patan district of Gujarat, India.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d82297c81909f720e2637cec737 |
completed | April 20, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d407b0c819090e6d66430db4a39 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053df532c48190b153dd9f790f1cc8 |
completed | May 14, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0541e2d4008190a8beb79812ccf485 |
completed | May 14, 2026, 3:30 a.m. |
Created at: April 10, 2026, 11:52 a.m.