Triple
T22098996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguindingan Airport |
E546116
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Opol |
—
|
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: Opol | Statement: [Laguindingan Airport, cityServed, Opol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opol Context triple: [Laguindingan Airport, cityServed, Opol]
-
A.
Opol
chosen
Opol is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, eco-tourism attractions, and proximity to Cagayan de Oro City.
-
B.
Opolais
Opolais is the surname of Latvian soprano opera singer Kristīne Opolais, renowned for her dramatic roles on major international stages.
-
C.
Opoji
Opoji is a town and traditional community within the Esan ethnic area of Edo State, Nigeria, known for its indigenous customs and local governance structures.
-
D.
Opo
The Opo are a small Nilotic ethnic group living primarily in the borderlands of western Ethiopia and South Sudan, known for their agro-pastoralist lifestyle and distinct language and culture.
-
E.
Opoeteren
Opoeteren is a village in the Belgian province of Limburg that now forms part of the municipality of Maaseik.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129131b4c8190b443bc820d9b5c61 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.