Triple
T10611139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negros Occidental |
E276009
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Talisay |
E385024
|
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: Talisay | Statement: [Negros Occidental, hasCity, Talisay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talisay Context triple: [Negros Occidental, hasCity, Talisay]
-
A.
Talisay
chosen
Talisay is a city in the Philippine province of Negros Occidental known for its sugarcane industry and historical landmarks.
-
B.
Talisay
Talisay is a coastal municipality in the Philippine province of Camarines Norte known for its rural communities and access to fishing and agricultural resources.
-
C.
Talisay City
Talisay City is a coastal component city in the province of Cebu in the Philippines, known for its historical significance and proximity to Metro Cebu.
-
D.
Masbate City
Masbate City is a coastal component city and the capital of Masbate Province in the Philippines, known as a commercial and administrative center in the Bicol Region.
-
E.
Calbayog
Calbayog is a coastal city in the province of Samar in the Philippines, known as a regional hub for trade, culture, and transportation in Eastern Visayas.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154679bb88190b2fffeea74d1fc50 |
completed | April 16, 2026, 9:28 p.m. |
Created at: April 8, 2026, 7:33 p.m.