Triple

T5941716
Position Surface form Disambiguated ID Type / Status
Subject Kuta E132180 entity
Predicate locatedOn P40 FINISHED
Object island of 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: island of Bali | Statement: [Kuta, locatedOn, island of Bali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: island of Bali
Context triple: [Kuta, locatedOn, island of Bali]
  • A. 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.
  • B. 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.
  • C. Bali
    Bali is an American lingerie and intimate apparel brand known for its comfortable, supportive bras and underwear, owned by Hanesbrands.
  • D. island of Java
    The island of Java is Indonesia’s most populous and economically significant island, home to the capital city Jakarta and a major center of culture, politics, and industry in Southeast Asia.
  • E. Lombok Island
    Lombok Island is an Indonesian island east of Bali, known for its volcanic Mount Rinjani, scenic crater lake Segara Anak, and popular beaches and surf spots.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039346a7c81908d94081b666e1d79 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1135303bc81909f78f6d8d39c7de6 completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 4:01 p.m.