Triple
T6012876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lingayen Gulf |
E133876
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | La Union |
E283255
|
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: La Union | Statement: [Lingayen Gulf, locatedIn, La Union]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Union Context triple: [Lingayen Gulf, locatedIn, La Union]
-
A.
La Union
chosen
La Union is a coastal province in the Ilocos Region of the Philippines known for its Ilocano heritage, surfing beaches, and emerging tourism industry.
-
B.
República
República is a central neighborhood in São Paulo, Brazil, known for its historic square, diverse urban life, and concentration of commercial and cultural activities.
-
C.
French Union
The French Union was a political entity established after World War II to reorganize France’s relationship with its colonies and overseas territories within a quasi-federal framework.
-
D.
République
République is a major public square and busy transport hub in central Paris, known for its large statue of Marianne and frequent political gatherings.
-
E.
Unión Española
Unión Española is a traditional and historically successful Chilean football club based in Santiago.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f528acc8190bc6943d812460b57 |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108a7afe88190adeb690f40b2e1e9 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.