Triple

T22206216
Position Surface form Disambiguated ID Type / Status
Subject PvJ E548812 entity
Predicate region P40 FINISHED
Object Greater Bandung area NE NERFINISHED

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: Greater Bandung area | Statement: [PvJ, region, Greater Bandung area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Bandung area
Context triple: [PvJ, region, Greater Bandung area]
  • A. Greater Bandung chosen
    Greater Bandung is a major metropolitan area in West Java, Indonesia, centered on the city of Bandung and encompassing its surrounding suburban and satellite regions.
  • B. Greater Medan area
    The Greater Medan area is the large metropolitan region centered on the city of Medan in North Sumatra, Indonesia, encompassing its surrounding urban and suburban communities.
  • C. Bandung metropolitan area
    The Bandung metropolitan area is a major urban and economic region in West Java, Indonesia, centered on the city of Bandung and its surrounding suburbs and satellite towns.
  • D. Greater Jakarta
    Greater Jakarta is Indonesia’s largest metropolitan area, encompassing Jakarta and its surrounding cities and suburbs as the country’s primary political, economic, and urban hub.
  • E. South Jakarta
    South Jakarta is a municipality in the southern part of Indonesia’s capital region, known for its upscale residential areas, business districts, and shopping and entertainment centers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2868d88190af313b862fe9d8f2 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.