Triple
T37154233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic Act No. 10360 |
E920449
|
entity |
| Predicate | separatesMunicipality |
P187211
|
FINISHED |
| Object | Sta. Maria, Davao del Sur |
—
|
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: Sta. Maria, Davao del Sur | Statement: [Republic Act No. 10360, separatesMunicipality, Sta. Maria, Davao del Sur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separatesMunicipality Context triple: [Republic Act No. 10360, separatesMunicipality, Sta. Maria, Davao del Sur]
-
A.
isPortionOfMunicipalityInDifferentDistrict
Indicates that a part of a municipality lies within a different administrative district than the rest of that municipality.
-
B.
hasMunicipalPart
Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
-
C.
municipalCountrySubdivision
Indicates that one administrative area functions as a municipal-level subdivision within the territory of a given country.
-
D.
geographicallySeparatedDistrictOf
Indicates that one district is a non-contiguous, physically separate part of another district or administrative area.
-
E.
spansMunicipality
Indicates that something (such as an area, structure, or feature) extends across or covers more than one municipality.
- F. None of above. chosen
Provenance (4 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:15 p.m.