Triple

T12448055
Position Surface form Disambiguated ID Type / Status
Subject Dusun E297452 entity
Predicate traditionalFestival P7822 FINISHED
Object Kaamatan E853068 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: Kaamatan | Statement: [Dusun, traditionalFestival, Kaamatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaamatan
Context triple: [Dusun, traditionalFestival, Kaamatan]
  • A. Kaamatan chosen
    Kaamatan is a traditional harvest festival celebrated in Sabah, Malaysia, particularly by the Kadazan-Dusun people, to give thanks for a bountiful rice harvest through rituals, cultural performances, and communal feasting.
  • B. Kaming
    Kaming is a town in Austria that is twinned as a sister city with Queenstown, New Zealand.
  • C. Kankanay
    Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • D. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • E. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9e592c81908cf7f3ca170d942c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1501448190b0a95d7cd249ca9d completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.