Triple
T13998625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAA |
E336764
|
entity |
| Predicate | servesAsFocusCityFor |
P1655
|
FINISHED |
| Object | SpiceJet |
E106304
|
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: SpiceJet | Statement: [MAA, servesAsFocusCityFor, SpiceJet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SpiceJet Context triple: [MAA, servesAsFocusCityFor, SpiceJet]
-
A.
SpiceJet
chosen
SpiceJet is a major Indian low-cost airline operating extensive domestic and regional international services.
-
B.
Jat Airways
Jat Airways was the former national airline of Serbia and Yugoslavia, operating regional and international flights before being rebranded as Air Serbia.
-
C.
GoAir
GoAir is an Indian low-cost airline founded by the Wadia Group, operating domestic and limited international flights.
-
D.
IndiGo
IndiGo is a major Indian low-cost airline known for its extensive domestic network, high on-time performance, and large fleet of Airbus A320-family aircraft.
-
E.
Vistara
Vistara is an Indian full-service airline known for its premium in-flight experience and joint venture ownership by Tata Group and Singapore Airlines.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb81b208190a961e49a02fa4140 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.