Triple

T22835886
Position Surface form Disambiguated ID Type / Status
Subject municipal government of Probolinggo E565945 entity
Predicate governs P760 FINISHED
Object City of Probolinggo 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: City of Probolinggo | Statement: [municipal government of Probolinggo, governs, City of Probolinggo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Probolinggo
Context triple: [municipal government of Probolinggo, governs, City of Probolinggo]
  • A. City of Probolinggo chosen
    The City of Probolinggo is an urban municipality in East Java, Indonesia, known as a coastal city on the northern shore of Java.
  • B. Bima City
    Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
  • C. Pasuruan
    Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
  • 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. Malang Regency
    Malang Regency is an administrative region in East Java, Indonesia, known for its mountainous landscapes, cool climate, and proximity to popular tourist destinations such as Batu and Mount Bromo.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2f09608190bc8e465e53b39e2e completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.