Triple

T18745793
Position Surface form Disambiguated ID Type / Status
Subject Zamboangueño E458401 entity
Predicate hasSubstrateLanguage P11299 FINISHED
Object Subanen 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: Subanen | Statement: [Zamboangueño, hasSubstrateLanguage, Subanen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subanen
Context triple: [Zamboangueño, hasSubstrateLanguage, 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. Subukia
    Subukia is a rural town in Kenya known for its agricultural activities and scenic hilly landscape within Nakuru County.
  • C. Bensusan
    "Bensusan" is a solo acoustic guitar piece by Michael Hedges, renowned for its intricate harmonics and innovative fingerstyle technique.
  • D. Surobi
    Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
  • E. Sumbe
    Sumbe is a coastal city in western Angola that serves as an important administrative and economic center in the Cuanza Sul region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57692c380819091e8a919ab6c9ca9 completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.