Triple

T7314307
Position Surface form Disambiguated ID Type / Status
Subject Mount Kawi E168170 entity
Predicate locatedIn P40 FINISHED
Object Blitar Regency E154482 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: Blitar Regency | Statement: [Mount Kawi, locatedIn, Blitar Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blitar Regency
Context triple: [Mount Kawi, locatedIn, Blitar Regency]
  • A. Tabanan Regency
    Tabanan Regency is an agricultural and coastal region in western Bali, Indonesia, known for its lush rice terraces and the iconic Tanah Lot sea temple.
  • B. Bangli Regency
    Bangli Regency is an inland administrative region on the Indonesian island of Bali, known for its mountainous landscapes, traditional villages, and cultural heritage sites.
  • C. Blitar chosen
    Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
  • D. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • E. Madiun Regency
    Madiun Regency is an administrative region in East Java, Indonesia, known for its agricultural economy, historical significance, and role as a regional hub in the western part of the province.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec03a7248190beb1dec612725e5b completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856a22b208190821bcbf21a074bb8 completed March 28, 2026, 10:30 p.m.
Created at: March 27, 2026, 3:02 p.m.