Triple

T18526176
Position Surface form Disambiguated ID Type / Status
Subject Bandung Regency E452722 entity
Predicate contains P35 FINISHED
Object Rancaekek 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: Rancaekek | Statement: [Bandung Regency, contains, Rancaekek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rancaekek
Context triple: [Bandung Regency, contains, Rancaekek]
  • A. Rancaekek chosen
    Rancaekek is a suburban district in West Java, Indonesia, known as a growing residential and industrial area on the eastern outskirts of Bandung.
  • B. Carakan
    Carakan is the traditional Javanese writing system used for the Javanese language and related regional languages of Indonesia.
  • C. Warakurna
    Warakurna is a remote Indigenous community in Western Australia, located within the Shire of Ngaanyatjarraku near the border with the Northern Territory.
  • D. Cindau
    Cindau is an alternative name for the Ndau language, a Bantu language spoken primarily in Mozambique and Zimbabwe.
  • E. Dakaka
    Dakaka is an Oceanic language spoken by a small community in Vanuatu.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53392618c8190b44de46b80ee6a6d completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.