Triple

T7358746
Position Surface form Disambiguated ID Type / Status
Subject Java economic region E169691 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Betawi E554120 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: Betawi | Statement: [Java economic region, hasEthnicGroup, Betawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betawi
Context triple: [Java economic region, hasEthnicGroup, Betawi]
  • A. Betawi chosen
    Betawi is an Austronesian language spoken primarily by the Betawi people in and around Jakarta, Indonesia, and is closely associated with the city's urban culture and history.
  • 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. Bidayuh
    Bidayuh is an indigenous ethnic group of Borneo, primarily in Sarawak, Malaysia, known for its distinct languages, traditional longhouse culture, and rich agricultural and ritual practices.
  • D. 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.
  • E. 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.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f13db3488190ad35725c4fc60ffe completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faaa8ec8819093bf6b4562472288 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.