Triple
T5584206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nendo Island |
E146713
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Lata Airport |
E487756
|
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: Lata Airport | Statement: [Nendo Island, hasAirport, Lata Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lata Airport Context triple: [Nendo Island, hasAirport, Lata Airport]
-
A.
Lata Airport
chosen
Lata Airport is a small regional airfield serving the town of Lata in the Solomon Islands, providing vital air connectivity to this remote area.
-
B.
Dhusamareb Airport
Dhusamareb Airport is a regional airport serving the town of Dhusamareb, the capital of the Galmudug state in central Somalia.
-
C.
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.
-
D.
Ghat Airport
Ghat Airport is a small regional airport serving the town of Ghat in southwestern Libya, primarily handling domestic flights.
-
E.
Dabolim Airport
Dabolim Airport is the main international airport serving the Indian state of Goa, handling both civilian and military 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02084b5f0819089b62283c57704ec |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02862bd048190b9db0fd3f3562da2 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:37 p.m.