Triple

T6940357
Position Surface form Disambiguated ID Type / Status
Subject Puncak Pass E160657 entity
Predicate locatedIn P40 FINISHED
Object Bogor Regency E165487 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: Bogor Regency | Statement: [Puncak Pass, locatedIn, Bogor Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogor Regency
Context triple: [Puncak Pass, locatedIn, Bogor Regency]
  • A. Bogor Regency chosen
    Bogor Regency is an administrative region in West Java, Indonesia, that encircles the city of Bogor and is known for its rapidly growing suburban and rural communities.
  • B. Bogor
    Bogor is a city on the Indonesian island of Java known for its cool climate, botanical gardens, and role as a major educational and research center.
  • C. Purwakarta Regency
    Purwakarta Regency is an administrative region in West Java, Indonesia, known for its industrial areas, transportation links, and proximity to major urban centers like Bandung and Jakarta.
  • D. Subang Regency
    Subang Regency is an administrative region in West Java, Indonesia, known for its agricultural production, hot springs, and proximity to both mountainous and coastal areas.
  • E. Sukabumi
    Sukabumi is a city in southwestern West Java, Indonesia, known for its cool climate, surrounding highlands, and proximity to popular natural attractions.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da641ce08190a133c9ba4977755d completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad6c3414819085b816c9455cee7a completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:28 p.m.