Triple

T11988535
Position Surface form Disambiguated ID Type / Status
Subject Zamboanga del Sur E285344 entity
Predicate hasLocalLanguage P4185 FINISHED
Object 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: Subanen | Statement: [Zamboanga del Sur, hasLocalLanguage, Subanen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subanen
Context triple: [Zamboanga del Sur, hasLocalLanguage, 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. Sibunag
    Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
  • C. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • D. Subeita
    Subeita is an ancient Nabataean and Byzantine desert settlement in the Negev region of Israel, known for its well-preserved ruins and role along historic trade routes.
  • E. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472492ebc8190b064e691bb70e356 completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.