Triple

T7102352
Position Surface form Disambiguated ID Type / Status
Subject Bogor Regency E165487 entity
Predicate contains P35 FINISHED
Object Parung
Parung is a district-level area in West Java, Indonesia, situated within the suburban region south of Jakarta and administered as part of Bogor Regency.
E651995 NE FINISHED

How this triple was built (4 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: Parung | Statement: [Bogor Regency, contains, Parung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parung
Context triple: [Bogor Regency, contains, Parung]
  • A. Cibinong
    Cibinong is an urban district in West Java, Indonesia, serving as an administrative and commercial hub within the Greater Jakarta metropolitan area.
  • B. Jatinegara
    Jatinegara is a district in East Jakarta, Indonesia, known as a densely populated urban area with significant transportation hubs and historical sites.
  • C. 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.
  • D. Cilegon
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • E. Depok
    Depok is a rapidly growing commuter city in Indonesia located between Jakarta and Bogor, known for its universities and residential developments.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Parung
Triple: [Bogor Regency, contains, Parung]
Generated description
Parung is a district-level area in West Java, Indonesia, situated within the suburban region south of Jakarta and administered as part of Bogor Regency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parung
Target entity description: Parung is a district-level area in West Java, Indonesia, situated within the suburban region south of Jakarta and administered as part of Bogor Regency.
  • A. Cibinong
    Cibinong is an urban district in West Java, Indonesia, serving as an administrative and commercial hub within the Greater Jakarta metropolitan area.
  • B. Jatinegara
    Jatinegara is a district in East Jakarta, Indonesia, known as a densely populated urban area with significant transportation hubs and historical sites.
  • C. 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.
  • D. Cilegon
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • E. Depok
    Depok is a rapidly growing commuter city in Indonesia located between Jakarta and Bogor, known for its universities and residential developments.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69c7d44e67848190ac52eca99ef18f28 completed March 28, 2026, 1:14 p.m.
NED2 Entity disambiguation (via description) batch_69c7d4fc837c81909827352be19f64b4 completed March 28, 2026, 1:17 p.m.
Created at: March 27, 2026, 2:42 p.m.