Triple
T29517560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The University City of Cavite |
E748840
|
entity |
| Predicate | provinceOfCityReferred |
P48441
|
FINISHED |
| Object | Cavite |
—
|
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: Cavite | Statement: [The University City of Cavite, provinceOfCityReferred, Cavite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceOfCityReferred Context triple: [The University City of Cavite, provinceOfCityReferred, Cavite]
-
A.
provinceOf
Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
-
B.
isProvincialCityOf
chosen
Indicates that a city serves as an administrative or officially designated city within a specified province.
-
C.
associatedProvinceOrState
Indicates that one entity is linked or related to a specific province or state as its relevant administrative region.
-
D.
isProvinceOf
Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
-
E.
countryOfCityReferredTo
Indicates that one entity is the country in which the referenced city entity is located.
- F. None of above.
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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 28, 2026, 4:38 p.m.