Triple

T19752865
Position Surface form Disambiguated ID Type / Status
Subject Ati people E474425 entity
Predicate primaryLocation P3231 FINISHED
Object Panay 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: Panay | Statement: [Ati people, primaryLocation, Panay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panay
Context triple: [Ati people, primaryLocation, Panay]
  • A. Panay
    Panay is a coastal municipality in the province of Capiz in the Philippines, known for its historical church and cultural heritage.
  • B. Panay chosen
    Panay is a major island in the Western Visayas region of the Philippines, known for its rich history, agriculture, and proximity to the resort island of Boracay.
  • C. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • D. Talayan
    Talayan is a municipality located in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines.
  • E. Mirafra
    Mirafra is a genus of small, ground-dwelling larks known for their cryptic plumage and elaborate song displays, found mainly in Africa and parts of Asia.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529bcb8c8190bcca61a53be86757 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.