Triple

T18739113
Position Surface form Disambiguated ID Type / Status
Subject Kasada E458243 entity
Predicate ethnicGroupContext P52241 FINISHED
Object Tenggerese 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: Tenggerese | Statement: [Kasada, ethnicGroupContext, Tenggerese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenggerese
Context triple: [Kasada, ethnicGroupContext, Tenggerese]
  • A. Tenggerese chosen
    The Tenggerese are an indigenous Javanese ethnic group living around Mount Bromo in East Java, Indonesia, known for preserving Hindu traditions and distinctive highland farming culture.
  • B. Kedangese
    Kedangese is an Austronesian language spoken by the Kedang people on Lembata Island in eastern Indonesia.
  • C. Javanese
    The Javanese are the largest ethnic group in Indonesia, primarily inhabiting the island of Java and known for their rich cultural traditions, language, and influence on Indonesian politics and arts.
  • D. Banjarese
    Banjarese is an Austronesian language spoken primarily by the Banjar people of South Kalimantan in Indonesia.
  • E. Sundanese
    The Sundanese are an indigenous ethnic group of western Java in Indonesia, known for their distinct language, rich musical and dance traditions, and agrarian culture.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768ca990819098102f8522ce401f completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.