Triple

T6638065
Position Surface form Disambiguated ID Type / Status
Subject Subanen languages E150507 entity
Predicate hasSubgroup P747 FINISHED
Object Tukuran 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: Tukuran Subanen | Statement: [Subanen languages, hasSubgroup, Tukuran Subanen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tukuran Subanen
Context triple: [Subanen languages, hasSubgroup, Tukuran 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. Tabonibara
    Tabonibara is a village located on the atoll of Butaritari in the island nation of Kiribati in the central Pacific Ocean.
  • C. Susuman
    Susuman is a small mining town in Russia's Magadan Oblast, located in the remote Russian Far East.
  • D. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • E. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • 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.