Triple

T6757136
Position Surface form Disambiguated ID Type / Status
Subject Zapin Sarawak E154489 entity
Predicate partOf P40 FINISHED
Object Zapin E607611 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: Zapin | Statement: [Zapin Sarawak, partOf, Zapin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zapin
Context triple: [Zapin Sarawak, partOf, Zapin]
  • A. Zapin Sarawak
    Zapin Sarawak is a regional Malay dance form from the Malaysian state of Sarawak, characterized by its distinctive local music, costumes, and choreography derived from the broader Zapin tradition.
  • B. Zapin Arab
    Zapin Arab is a regional style of the traditional Malay Zapin dance that reflects strong Arab cultural and musical influences.
  • C. Zapin Melayu chosen
    Zapin Melayu is a traditional Malay dance and musical form that evolved from Arab-Islamic zapin influences into a distinct cultural performance widely practiced in the Malay world.
  • D. Zapin Johor
    Zapin Johor is a Malay traditional dance form from the Malaysian state of Johor, characterized by its graceful footwork and strong influence from Arab-Islamic culture.
  • E. Marilao
    Marilao is a rapidly urbanizing municipality in the province of Bulacan in the Philippines, known for its commercial centers and proximity to Metro Manila.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f76c9c81908c213772a54f1352 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712ad568c8190bc82f6149c22273a completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:11 p.m.