Triple

T8011121
Position Surface form Disambiguated ID Type / Status
Subject Cilegon E186493 entity
Predicate hasIndustrialEstate P13026 FINISHED
Object Cilegon Industrial Area E186493 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: Cilegon Industrial Area | Statement: [Cilegon, hasIndustrialEstate, Cilegon Industrial Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cilegon Industrial Area
Context triple: [Cilegon, hasIndustrialEstate, Cilegon Industrial Area]
  • A. South Tangerang
    South Tangerang is a rapidly developing satellite city in Indonesia’s Banten province, known as a residential and commercial hub within the Jakarta metropolitan area.
  • 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. Jababeka Industrial Estate
    Jababeka Industrial Estate is a major planned industrial and business park in Bekasi, Indonesia, hosting numerous manufacturing facilities, logistics centers, and supporting commercial developments.
  • D. Cilegon chosen
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • E. Cipinang
    Cipinang is a neighborhood in East Jakarta, Indonesia, known for housing one of the country’s main prisons and various urban residential and commercial areas.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d722fbc8190b22745b581421f16 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56a54e8081908208b57b7390cc95 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:19 p.m.