Triple

T20099993
Position Surface form Disambiguated ID Type / Status
Subject Bima Regency E496507 entity
Predicate seat P75 FINISHED
Object Woha 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: Woha | Statement: [Bima Regency, seat, Woha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woha
Context triple: [Bima Regency, seat, Woha]
  • A. Woha chosen
    Woha is the administrative and economic center of Bima Regency on the island of Sumbawa in Indonesia.
  • B. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • C. Huwara
    Huwara is a Palestinian town in the central West Bank, located south of Nablus along a major north–south roadway and often noted as a flashpoint in the Israeli–Palestinian conflict.
  • D. Wahoowa
    Wahoowa is a spirited cheer and rallying cry closely associated with the University of Virginia and its sports teams, the Cavaliers (often called the Hoos).
  • E. Dabolim
    Dabolim is a coastal town in the Indian state of Goa best known for hosting the region’s main international airport.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666f2298819089659f13556ca305 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:26 p.m.