Triple
T5362321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porbandar |
E103049
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Porbandar Airport |
E20129
|
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: Porbandar Airport | Statement: [Porbandar, hasAirport, Porbandar Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porbandar Airport Context triple: [Porbandar, hasAirport, Porbandar Airport]
-
A.
Porbandar Airport
chosen
Porbandar Airport is a domestic airport in Gujarat, India, providing air connectivity to the coastal city of Porbandar and surrounding regions.
-
B.
Rajkot Airport
Rajkot Airport is a domestic airport serving the city of Rajkot and surrounding regions in the Indian state of Gujarat.
-
C.
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.
-
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.
Nal Airport
Nal Airport is a domestic airport serving the city of Bikaner in the Indian state of Rajasthan.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865a0bb081909579cfe7c7974075 |
completed | March 20, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21ef7acc8190aa7ff990a04ff09c |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:02 p.m.