Triple

T21179437
Position Surface form Disambiguated ID Type / Status
Subject Kuta District E521905 entity
Predicate contains P35 FINISHED
Object Jimbaran (part) 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: Jimbaran (part) | Statement: [Kuta District, contains, Jimbaran (part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimbaran (part)
Context triple: [Kuta District, contains, Jimbaran (part)]
  • A. Jimbaran chosen
    Jimbaran is a coastal town in southern Bali, Indonesia, known for its beachside seafood restaurants and luxury resorts.
  • B. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • C. Babakan Madang
    Babakan Madang is a district in West Java, Indonesia, known for its rapidly developing residential areas, recreational facilities, and proximity to the city of Bogor.
  • D. Linggajati
    Linggajati is a village in West Java, Indonesia, historically significant as the site of key negotiations between Indonesian nationalists and the Dutch during the Indonesian National Revolution.
  • E. Jampang
    Jampang is a barangay (village-level administrative division) located in the municipality of Argao in Cebu, Philippines.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301c842c8190b969a8b3f194003a completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:01 p.m.