Triple
T807524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visayas |
E17470
|
entity |
| Predicate | positionWithinCountry |
P17086
|
FINISHED |
| Object | central Philippines |
—
|
LITERAL 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: central Philippines | Statement: [Visayas, positionWithinCountry, central Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinCountry Context triple: [Visayas, positionWithinCountry, central Philippines]
-
A.
locatedOnTerritoryOf
chosen
Indicates that one entity is situated within or on the land area governed or owned by another entity.
-
B.
currentLocationCountry
Indicates that one entity is the country in which another entity is currently located.
-
C.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
D.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
-
E.
locatedInCountryCapitalSystem
Indicates that an entity is situated in the capital city of a specified country within a country–capital relationship system.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ac07fedc8190ab05595f25c1792f |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7221c081908068e66fe720f26d |
completed | March 1, 2026, 9:06 p.m. |
Created at: March 1, 2026, 7:38 p.m.