Triple

T7627343
Position Surface form Disambiguated ID Type / Status
Subject Bekasi E172668 entity
Predicate borderedBy P224 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: [Bekasi, borderedBy, Bogor Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogor Regency
Context triple: [Bekasi, borderedBy, 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. Bekasi Regency
    Bekasi Regency is an administrative region in West Java, Indonesia, known for its rapidly growing urban and industrial areas on the eastern outskirts of Jakarta.
  • E. Sukabumi Regency
    Sukabumi Regency is an administrative region in West Java, Indonesia, known for its coastal areas, mountainous landscapes, and proximity to major urban centers like Bogor.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa8150ac8190908aec411b0f4e50 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a212d0888190a40cdf32ef53d993 completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:56 p.m.