Triple

T5436023
Position Surface form Disambiguated ID Type / Status
Subject Pawukon E122009 entity
Predicate usedIn P98 FINISHED
Object 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: Bali | Statement: [Pawukon, usedIn, Bali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bali
Context triple: [Pawukon, usedIn, 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. 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.
  • D. Isle of Java
    Isle of Java is a coffee-focused quick-service location at Disney’s Discovery Island, known for serving beverages and light refreshments to park guests.
  • E. Flores
    Flores is a historic island city in northern Guatemala known for its colonial architecture and as a gateway to the nearby Maya ruins of Tikal.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91b099488190b4c5f1cea3f45d57 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8339158c8190b5471c9fb85696e1 completed March 22, 2026, 5:50 a.m.
Created at: March 20, 2026, 2:06 p.m.