Triple

T5232697
Position Surface form Disambiguated ID Type / Status
Subject Kaba Cindua Mato E118147 entity
Predicate centralCharacter P9202 FINISHED
Object Cindua Mato E118147 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: Cindua Mato | Statement: [Kaba Cindua Mato, centralCharacter, Cindua Mato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindua Mato
Context triple: [Kaba Cindua Mato, centralCharacter, Cindua Mato]
  • A. Kaba Cindua Mato chosen
    Kaba Cindua Mato is a classic Minangkabau literary epic that narrates heroic adventures, courtly intrigue, and cultural values central to West Sumatran tradition.
  • B. Madura
    Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
  • C. Mangal
    Mangal is a given name most notably borne by Mangal Pandey, an Indian soldier whose actions helped spark the Indian Rebellion of 1857.
  • D. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • E. Mirani
    Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b0389048190b55b7c44fe657044 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef8154940819098ed76e14804f4b3 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.