Triple

T8404046
Position Surface form Disambiguated ID Type / Status
Subject East Jakarta E198448 entity
Predicate hasNotableArea P494 FINISHED
Object Jatinegara E189348 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: Jatinegara | Statement: [East Jakarta, hasNotableArea, Jatinegara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jatinegara
Context triple: [East Jakarta, hasNotableArea, Jatinegara]
  • A. Jatinegara chosen
    Jatinegara is a district in East Jakarta, Indonesia, known as a densely populated urban area with significant transportation hubs and historical sites.
  • B. Cibinong
    Cibinong is an urban district in West Java, Indonesia, serving as an administrative and commercial hub within the Greater Jakarta metropolitan area.
  • C. Parung Panjang
    Parung Panjang is a district in Bogor Regency, West Java, Indonesia, known as a growing suburban and industrial area on the outskirts of Greater Jakarta.
  • D. Jagakarsa
    Jagakarsa is a district in the southern part of Jakarta, Indonesia, known for its relatively green residential areas and educational institutions.
  • E. Jatiluhur
    Jatiluhur is a town in West Java, Indonesia, known for its proximity to the large multipurpose Jatiluhur Reservoir and its associated hydroelectric and irrigation infrastructure.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb82505e0c81909549db59b7c4eb00 completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4db075c881909083b3384fcde344 completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:04 p.m.