Triple

T5847439
Position Surface form Disambiguated ID Type / Status
Subject Ubud E129746 entity
Predicate locatedInRegion P40 FINISHED
Object central Bali E22167 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: central Bali | Statement: [Ubud, locatedInRegion, central Bali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Bali
Context triple: [Ubud, locatedInRegion, central Bali]
  • A. Bali District
    Bali District is a coastal suburban district in northern Taiwan known for its historical sites, riverside scenery, and role as part of New Taipei City.
  • B. Canggu
    Canggu is a trendy coastal village in Bali known for its surf-friendly beaches, laid-back atmosphere, and vibrant café and nightlife scene.
  • C. Bali chosen
    Bali is a popular Indonesian island province renowned for its tropical beaches, vibrant Hindu culture, and status as a major international tourism and conference destination.
  • D. Bali
    Bali is a small seaside resort village on the northern coast of Crete, Greece, known for its sheltered bays, beaches, and relaxed holiday atmosphere.
  • E. Bali
    Bali is an American lingerie and intimate apparel brand known for its comfortable, supportive bras and underwear, owned by Hanesbrands.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03512d3548190920ac882189500d9 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1ad4d888190b4a1e605887b2e2c completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.