Triple
T19783112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butuan City |
E475186
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Bancasi 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: Bancasi Airport | Statement: [Butuan City, hasAirport, Bancasi Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bancasi Airport Context triple: [Butuan City, hasAirport, Bancasi Airport]
-
A.
Bancasi Airport
chosen
Bancasi Airport is a domestic airport serving the city of Butuan in the Caraga region of Mindanao in the Philippines.
-
B.
Ulei Airport
Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
-
C.
Matei Airport
Matei Airport is a small regional airport serving the island of Taveuni in Fiji, providing domestic connections and access for tourists to the island’s resorts and natural attractions.
-
D.
Rinas Airport
Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
-
E.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653852e848190b8971981a164e8f9 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.