Triple
T7650057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DIB |
E173224
|
entity |
| Predicate | servesAirlines |
P12356
|
FINISHED |
| Object | Air India |
E100865
|
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: Air India | Statement: [DIB, servesAirlines, Air India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Air India Context triple: [DIB, servesAirlines, Air India]
-
A.
Air India
chosen
Air India is the flag carrier airline of India, operating domestic and international flights across numerous destinations worldwide.
-
B.
Air India Express
Air India Express is an Indian low-cost airline, primarily operating short-haul international and domestic flights, and is a subsidiary of Air India.
-
C.
Jat Airways
Jat Airways was the former national airline of Serbia and Yugoslavia, operating regional and international flights before being rebranded as Air Serbia.
-
D.
Tata Airlines
Tata Airlines was the private Indian airline founded by J. R. D. Tata in the 1930s that later evolved into the national carrier Air India.
-
E.
SpiceJet
SpiceJet is a major Indian low-cost airline operating extensive domestic and regional international 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70174af248190af6695e127776c02 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ae293148190a30ef03a4a594fe6 |
completed | March 29, 2026, 3:22 a.m. |
Created at: March 27, 2026, 3:58 p.m.