Triple
T2639669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surat |
E62832
|
entity |
| Predicate | transport |
P230
|
FINISHED |
| Object | Surat Airport |
E73133
|
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: Surat Airport | Statement: [Surat, transport, Surat Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surat Airport Context triple: [Surat, transport, Surat Airport]
-
A.
Surat Airport
chosen
Surat Airport is a domestic and international airport serving the city of Surat in the Indian state of Gujarat.
-
B.
Vadodara Airport
Vadodara Airport is a domestic airport in the city of Vadodara, India, serving as one of the key air transport hubs in the state of Gujarat.
-
C.
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.
-
D.
Pune International Airport
Pune International Airport is a major civilian and military airport serving the city of Pune in Maharashtra, India, with domestic and limited international flight connections.
-
E.
Devi Ahilya Bai Holkar Airport
Devi Ahilya Bai Holkar Airport is the main domestic and international airport serving Indore and the surrounding region in the Indian state of Madhya Pradesh.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fafad08190939b08558fea6abd |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90b628748190bdbb23f1d85bc3fd |
completed | March 10, 2026, 3:32 a.m. |
Created at: March 6, 2026, 9:53 p.m.