Triple

T5733363
Position Surface form Disambiguated ID Type / Status
Subject Gianyar Regency E126438 entity
Predicate hasArtCenter P38611 FINISHED
Object Ubud art market E129746 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: Ubud art market | Statement: [Gianyar Regency, hasArtCenter, Ubud art market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubud art market
Context triple: [Gianyar Regency, hasArtCenter, Ubud art market]
  • A. Ubud chosen
    Ubud is a cultural and artistic hub in central Bali, Indonesia, known for its traditional crafts, lush rice terraces, and vibrant spiritual and wellness scene.
  • B. Wunti Market
    Wunti Market is a major traditional commercial hub in Bauchi, Nigeria, known for its bustling trade in foodstuffs, textiles, and everyday goods.
  • C. Dantokpa Market
    Dantokpa Market is a vast open-air marketplace in Cotonou, Benin, known as one of West Africa’s largest and busiest commercial hubs.
  • D. Bali Museum
    Bali Museum is a cultural and historical museum in Denpasar, Bali, showcasing traditional Balinese art, artifacts, and heritage.
  • E. Sandaga Market
    Sandaga Market is a bustling, historic open-air marketplace in central Dakar, Senegal, known for its vibrant atmosphere and wide variety of goods, from textiles and crafts to food and everyday items.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02534288c8190807dcdd183fccfe5 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a931b3c819092119a1587625eb5 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.