Triple
T29517561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The University City of Cavite |
E748840
|
entity |
| Predicate | countryOfCityReferred |
P118903
|
FINISHED |
| Object | Philippines |
—
|
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: Philippines | Statement: [The University City of Cavite, countryOfCityReferred, Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCityReferred Context triple: [The University City of Cavite, countryOfCityReferred, Philippines]
-
A.
countryOfCityReferredTo
Indicates that one entity is the country in which the referenced city entity is located.
-
B.
countryOfOriginOfCity
chosen
Indicates that a country is the nation in which a given city is geographically located or from which it originates.
-
C.
refersToCapitalCountry
Indicates that one entity is the capital city of the country represented by the other entity.
-
D.
countryOfReferent
Indicates that one entity is the country with which the referenced entity (the referent) is associated or to which it belongs.
-
E.
modernCountryOfCity
Indicates that a city is located within the borders of a specified modern-day country.
- 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_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
Created at: April 28, 2026, 4:38 p.m.