Triple
T6638061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subanen languages |
E150507
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Kolibugan Subanen |
E126716
|
NE 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: Kolibugan Subanen | Statement: [Subanen languages, hasSubgroup, Kolibugan Subanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolibugan Subanen Context triple: [Subanen languages, hasSubgroup, Kolibugan Subanen]
-
A.
Subanen
chosen
The Subanen are an indigenous ethnic group in the southern Philippines known for their upland farming lifestyle, rich oral traditions, and distinct language and rituals.
-
B.
Buhid
Buhid is a Brahmic-derived indigenous script used by the Buhid people of Mindoro in the Philippines to write the Buhid language.
-
C.
Mambusao
Mambusao is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town community life.
-
D.
Sibunag
Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
-
E.
Binigaus
Binigaus is a scenic, relatively unspoiled beach on the south coast of Menorca, known for its wide sandy shore, clear waters, and natural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff082b0819089f5a69aa67d5346 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e453cb14819093597dda825b4304 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 2 p.m.