Triple

T20685143
Position Surface form Disambiguated ID Type / Status
Subject Udayana University E508392 entity
Predicate regionServed P82 FINISHED
Object Bali 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: Bali | Statement: [Udayana University, regionServed, Bali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bali
Context triple: [Udayana University, regionServed, 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 a virtuous but ambitious king in Hindu mythology, best known for his encounter with the dwarf avatar Vamana of Vishnu, who curbs his power while granting him lasting honor and devotion.
  • D. Bali
    Bali is an American lingerie and intimate apparel brand known for its comfortable, supportive bras and underwear, owned by Hanesbrands.
  • 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 (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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beabf72881909771b6c6a81276d6 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.