Triple
T21975307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bulacan |
E542689
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Norzagaray |
—
|
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: Norzagaray | Statement: [Province of Bulacan, hasMunicipality, Norzagaray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norzagaray Context triple: [Province of Bulacan, hasMunicipality, Norzagaray]
-
A.
Norzagaray
chosen
Norzagaray is a landlocked municipality in the province of Bulacan in the Philippines, known for its quarrying industry and natural attractions such as dams, rivers, and limestone formations.
-
B.
Elorza
Elorza is a town in the Venezuelan state of Apure known for its llanero culture and traditional folk celebrations.
-
C.
Aranguren
Aranguren is a municipality in the autonomous community of Navarre in northern Spain, situated near the city of Pamplona.
-
D.
Urdangarin
Urdangarin is a Spanish surname most prominently associated with the family of Spain’s former King Juan Carlos I through his grandson Miguel Urdangarin y de Borbón.
-
E.
Arriaga
Arriaga is a Spanish-language surname most notably associated with Mexican screenwriter and author Guillermo Arriaga.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12487a1a88190abb8a51fcd533b6a |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.