Triple
T10591027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghat District |
E249986
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Ghat Airport |
E249988
|
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: Ghat Airport | Statement: [Ghat District, hasTransport, Ghat Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghat Airport Context triple: [Ghat District, hasTransport, Ghat Airport]
-
A.
Ghat Airport
chosen
Ghat Airport is a small regional airport serving the town of Ghat in southwestern Libya, primarily handling domestic flights.
-
B.
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.
-
C.
Bilasa Devi Kevat Airport
Bilasa Devi Kevat Airport is a regional domestic airport serving the city of Bilaspur in the Indian state of Chhattisgarh.
-
D.
Lata Airport
Lata Airport is a small regional airfield serving the town of Lata in the Solomon Islands, providing vital air connectivity to this remote area.
-
E.
Akola Airport
Akola Airport is a domestic airport serving the city of Akola in Maharashtra, India, primarily handling regional air traffic.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277b66448190b668c47fe6af4f3d |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b99b3248190b5eac0e99cb73d4b |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:40 p.m.