Triple
T19769015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VANP |
E474832
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Sonegaon Airport |
—
|
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: Sonegaon Airport | Statement: [VANP, formerName, Sonegaon Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonegaon Airport Context triple: [VANP, formerName, Sonegaon Airport]
-
A.
Akola Airport
chosen
Akola Airport is a domestic airport serving the city of Akola in Maharashtra, India, primarily handling regional air traffic.
-
B.
Baramati Airport
Baramati Airport is a small regional airport in Baramati, Maharashtra, primarily used for general aviation, pilot training, and limited domestic operations.
-
C.
Latur Airport
Latur Airport is a domestic airport serving the city of Latur in Maharashtra, India, facilitating regional air connectivity.
-
D.
Kheria Airport
Kheria Airport is a domestic and military airfield serving the city of Agra in Uttar Pradesh, India, located near the Taj Mahal and operated jointly by the Indian Air Force and civil aviation authorities.
-
E.
Nashik Airport
Nashik Airport is a regional airport serving the city of Nashik in Maharashtra, India, handling domestic flights and supporting both civilian and defense aviation activities.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65359bb9881908f48282b63a83f2f |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.