Triple

T22301708
Position Surface form Disambiguated ID Type / Status
Subject Cianjur Regency E551272 entity
Predicate capital P234 FINISHED
Object Cianjur 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: Cianjur | Statement: [Cianjur Regency, capital, Cianjur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cianjur
Context triple: [Cianjur Regency, capital, Cianjur]
  • A. Garut
    Garut is a regency and town in West Java, Indonesia, known for its Sundanese culture, cool highland climate, and agricultural products such as vegetables and sheep.
  • B. Brebes
    Brebes is a regency and major urban center in the northwestern part of Central Java, Indonesia, known for its agriculture and salted egg production.
  • C. Subang
    Subang is a town in the state of Selangor, Malaysia, that forms part of the greater Kuala Lumpur metropolitan area and serves as an important suburban and commercial hub.
  • D. Cicalengka
    Cicalengka is a town in West Java, Indonesia, known historically as an administrative center within the Bandung region.
  • E. Cianjur Regency chosen
    Cianjur Regency is an administrative region in West Java, Indonesia, known for its agricultural areas, tea plantations, and proximity to popular highland destinations like Puncak.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157245ee481909a7a3397de3ae355 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.