Triple

T15901864
Position Surface form Disambiguated ID Type / Status
Subject Central Luzon languages E385607 entity
Predicate hasMajorLanguage P207 FINISHED
Object Ayta Tayabas E654676 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: Ayta Tayabas | Statement: [Central Luzon languages, hasMajorLanguage, Ayta Tayabas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayta Tayabas
Context triple: [Central Luzon languages, hasMajorLanguage, Ayta Tayabas]
  • A. Ayta chosen
    Ayta are an indigenous people of the Philippines, traditionally semi-nomadic hunter-gatherers known for their distinct languages, dark complexion, and rich forest-based culture.
  • B. Al Dafna
    Al Dafna is a prominent business and commercial district in Doha, Qatar, known for its modern skyscrapers and waterfront location along the Doha Corniche.
  • C. Taybeh
    Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
  • D. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • E. Wasafi
    Wasafi is a prominent Tanzanian entertainment and media brand best known for its influential presence in music, radio, and popular culture.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563db01081908dd94a2536ef2107 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a39a348190a4ef6784c54649c2 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:52 a.m.