Triple
T21700854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bancasi Airport |
E535650
|
entity |
| Predicate | isLocatedIn |
P40
|
FINISHED |
| Object | Butuan |
—
|
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: Butuan | Statement: [Bancasi Airport, isLocatedIn, Butuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butuan Context triple: [Bancasi Airport, isLocatedIn, Butuan]
-
A.
Butuan
chosen
Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
-
B.
Nabawan
Nabawan is a rural town and district in the interior of Sabah, Malaysia, known for its indigenous communities and agricultural activities.
-
C.
Beitunia
Beitunia is a Palestinian town located near Ramallah in the central West Bank.
-
D.
Tabiang
Tabiang is a village on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
-
E.
Tutuyan
Tutuyan is a town in North Sulawesi, Indonesia, serving as the administrative and political center of East Bolaang Mongondow Regency.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7edd3c8190bca83ef37598cbfb |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 16, 2026, 6:45 p.m.