Triple
T14503579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangasinan |
E340205
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Bayambang |
E459801
|
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: Bayambang | Statement: [Pangasinan, hasMunicipality, Bayambang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayambang Context triple: [Pangasinan, hasMunicipality, Bayambang]
-
A.
Bayambang
chosen
Bayambang is a municipality in the province of Pangasinan in the Philippines, known for its agricultural economy and historical significance dating back to the Spanish colonial period.
-
B.
Lambuyao
Lambuyao is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
C.
Bayombong
Bayombong is a municipality in the Philippines known as the administrative and commercial center of the province of Nueva Vizcaya.
-
D.
Bussang
Bussang is a commune in northeastern France’s Vosges department, known as a mountain resort and gateway to the Vosges range near the source of the Moselle River.
-
E.
Bayongbong
Bayongbong is a district in Garut Regency, West Java, Indonesia, known as one of the main gateway areas for hikers ascending Mount Cikuray.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c1bf988190b1265c3db9a6b590 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:21 a.m.