Triple
T2375877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cebu |
E46197
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Naga City |
E366653
|
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: Naga City | Statement: [Cebu, hasPart, Naga City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naga City Context triple: [Cebu, hasPart, Naga City]
-
A.
Naga City
Naga City is a major urban center in the Bicol Region of the Philippines, known as a cultural, religious, and educational hub.
-
B.
Dapitan City
Dapitan City is a historic coastal city in the Philippines best known as the place of exile of national hero José Rizal and as a heritage and pilgrimage destination in the Zamboanga Peninsula.
-
C.
Surigao City
Surigao City is a coastal city in the Caraga region of northeastern Mindanao in the Philippines, known as the “City of Island Adventures” for its numerous islands, beaches, and marine attractions.
-
D.
Danao City
chosen
Danao City is a component city in the province of Cebu in the Philippines, known historically for its gun-making industry and as a growing commercial and industrial hub in the region.
-
E.
Davao City
Davao City is a major urban center in the southern Philippines known for its economic hub status, proximity to Mount Apo, and reputation as one of the country’s safest and most progressive cities.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc794eee481908163148e1e666d9b |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb56c2e081909168c0fef26bff44 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 4, 2026, 7:57 p.m.