Triple

T6295932
Position Surface form Disambiguated ID Type / Status
Subject Bromo Tengger Semeru National Park E141130 entity
Predicate nearestCity P350 FINISHED
Object Pasuruan E141319 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: Pasuruan | Statement: [Bromo Tengger Semeru National Park, nearestCity, Pasuruan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasuruan
Context triple: [Bromo Tengger Semeru National Park, nearestCity, Pasuruan]
  • A. Pasuruan chosen
    Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
  • B. Kediri
    Kediri is a historic city in Indonesia known for its role as a former Javanese kingdom center and as an important economic hub in modern East Java.
  • C. Nganjuk
    Nganjuk is a regency capital and regional urban center in the province of East Java, Indonesia.
  • D. Jember
    Jember is a regency and major urban center in eastern Java, Indonesia, known for its agricultural economy and cultural festivals such as the Jember Fashion Carnaval.
  • E. Lamongan
    Lamongan is a regency and its capital town in the northern coastal region of East Java, Indonesia, known for its fishing industry and distinctive local cuisine.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c3b6cdc8190ad9e10957e301a57 completed March 27, 2026, 12:46 p.m.
Created at: March 22, 2026, 4:27 p.m.