Triple

T6638953
Position Surface form Disambiguated ID Type / Status
Subject Pamekasan E150532 entity
Predicate island P970 FINISHED
Object Madura E26232 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: Madura | Statement: [Pamekasan, island, Madura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madura
Context triple: [Pamekasan, island, Madura]
  • A. Madura chosen
    Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
  • B. Madra
    Madra was an ancient kingdom in the northwest of the Indian subcontinent, frequently mentioned in the Mahabharata and associated with figures like King Shalya and the Pandava prince Nakula.
  • C. Marum
    Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
  • D. Mangaliso
    Mangaliso is the middle name of Robert Sobukwe, the prominent South African anti-apartheid activist and founding leader of the Pan Africanist Congress.
  • E. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff082b0819089f5a69aa67d5346 completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eeed01608190bbc6461ac8c3cadb completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2 p.m.