Triple

T7102377
Position Surface form Disambiguated ID Type / Status
Subject Bogor Regency E165487 entity
Predicate contains P35 FINISHED
Object Cigombong E645789 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: Cigombong | Statement: [Bogor Regency, contains, Cigombong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cigombong
Context triple: [Bogor Regency, contains, Cigombong]
  • A. Sasamungga
    Sasamungga is a coastal village and local community on Choiseul Island in the Solomon Islands.
  • B. Cibungbulang chosen
    Cibungbulang is a district-level administrative area located within Bogor Regency in West Java, Indonesia.
  • C. Pakpak Pegagan
    Pakpak Pegagan is a regional dialect of the Pakpak Dairi language spoken by the Pakpak community in parts of North Sumatra, Indonesia.
  • D. Sukawati
    Sukawati is a district in Bali, Indonesia, known for its traditional art market, handicrafts, and cultural attractions within Gianyar Regency.
  • E. Tunggul Ametung
    Tunggul Ametung was a regional ruler in early 13th-century Java, best known from Javanese chronicles as the leader of Tumapel whose assassination enabled Ken Arok to rise to power and found the Singhasari kingdom.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e588aee08190bfb3d96135c0a322 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3759a2c81908535af2a749375ca completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:42 p.m.