Triple
T10251102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iligan Bay |
E240341
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Oroquieta |
E854850
|
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: Oroquieta | Statement: [Iligan Bay, hasNearbyCity, Oroquieta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oroquieta Context triple: [Iligan Bay, hasNearbyCity, Oroquieta]
-
A.
Oroquieta
chosen
Oroquieta is a coastal city in the Philippines that serves as the capital of Misamis Occidental province on the island of Mindanao.
-
B.
Tinajo
Tinajo is a rural municipality on the western side of Lanzarote in Spain’s Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
-
C.
Botorrita
Botorrita is a municipality in the province of Zaragoza, Spain, best known for the discovery of ancient Celtiberian bronze inscriptions found there.
-
D.
Aguadulce
Aguadulce is a city in central Panama known as an agricultural and commercial hub, particularly for sugar and salt production.
-
E.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23d7300819095971560759cf456 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74ff21edc8190b8b4a6967510a869 |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:28 a.m.