Triple

T11439164
Position Surface form Disambiguated ID Type / Status
Subject Subanen people E271094 entity
Predicate hasSubgroup P747 FINISHED
Object Western Subanen E546125 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: Western Subanen | Statement: [Subanen people, hasSubgroup, Western Subanen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Subanen
Context triple: [Subanen people, hasSubgroup, Western Subanen]
  • A. Western Subanen chosen
    Western Subanen is a major dialect of the Subanen language spoken by Subanen communities in the western regions of the Zamboanga Peninsula in the southern Philippines.
  • B. Southern Subanen
    Southern Subanen is a major dialect of the Subanen language spoken by Subanen communities in the southern Zamboanga Peninsula region of the southern Philippines.
  • C. Northern Subanen
    Northern Subanen is a major dialect of the Subanen language spoken by Subanen communities in the northern regions of the Zamboanga Peninsula in the southern Philippines.
  • D. Eastern Subanen
    Eastern Subanen is a dialect of the Subanen language spoken by Subanen communities in the eastern regions of the Zamboanga Peninsula in the southern Philippines.
  • E. Ave Subregion
    Ave Subregion is an administrative and statistical region in northern Portugal known for its industrial cities, historical heritage, and dense urban development.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d80888190c8190b6365550ffe4931c completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d39554c48190969cc0ebd4dbc368 completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.