Triple

T7102380
Position Surface form Disambiguated ID Type / Status
Subject Bogor Regency E165487 entity
Predicate contains P35 FINISHED
Object Ranca Bungur E647971 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: Ranca Bungur | Statement: [Bogor Regency, contains, Ranca Bungur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranca Bungur
Context triple: [Bogor Regency, contains, Ranca Bungur]
  • A. Busang Kayan
    Busang Kayan is a regional dialect of the Kayan language spoken by Kayan communities in Borneo.
  • B. Sibolga
    Sibolga is a coastal city and port on the western coast of Sumatra, Indonesia, known as a gateway to nearby islands and marine tourism areas.
  • C. Batusangkar
    Batusangkar is a historic town in West Sumatra, Indonesia, known as a cultural center of the Minangkabau people and gateway to the scenic Minangkabau Highlands.
  • D. Nanggung chosen
    Nanggung is a district (kecamatan) in Bogor Regency, West Java, Indonesia, known for its rural communities and proximity to hilly, plantation-rich landscapes.
  • E. Sindangkerta
    Sindangkerta is a district-level area in West Java, Indonesia, situated within the administrative boundaries of West Bandung Regency.
  • 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_69c7daff33bc8190825078d791ff0b3a completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:42 p.m.