Triple
T38031216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotabato's 2nd congressional district |
E948911
|
entity |
| Predicate | hasCapitalCityInProvince |
P3433
|
FINISHED |
| Object | Kidapawan |
—
|
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: Kidapawan | Statement: [Cotabato's 2nd congressional district, hasCapitalCityInProvince, Kidapawan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapitalCityInProvince Context triple: [Cotabato's 2nd congressional district, hasCapitalCityInProvince, Kidapawan]
-
A.
isProvincialCityOf
Indicates that a city serves as an administrative or officially designated city within a specified province.
-
B.
isInProvinceWithCapital
Indicates that a place is located within a province whose administrative capital is a specified city.
-
C.
isProvincialCapital
chosen
Indicates that a location serves as the administrative capital of a province within a country or region.
-
D.
hasCountryCapitalOfProvince
Indicates that a country has a specific city that serves as the capital of one of its provinces.
-
E.
hasProvincialCapitalWithin
Indicates that a province’s official capital city is geographically located within the boundaries of a specified area or region.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a003ffb548081908ba64fd2b570f42f |
completed | May 10, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_6a003fcecf788190a13dff38b9de3414 |
completed | May 10, 2026, 8:20 a.m. |
Created at: May 3, 2026, 4:20 p.m.