Triple

T20099992
Position Surface form Disambiguated ID Type / Status
Subject Bima Regency E496507 entity
Predicate capital P234 FINISHED
Object Woha
Woha is the administrative and economic center of Bima Regency on the island of Sumbawa in Indonesia.
E1411030 NE FINISHED

How this triple was built (4 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, capital, Woha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woha
Context triple: [Bima Regency, capital, Woha]
  • A. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • B. 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.
  • C. 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).
  • D. Dabolim
    Dabolim is a coastal town in the Indian state of Goa best known for hosting the region’s main international airport.
  • E. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Woha
Triple: [Bima Regency, capital, Woha]
Generated description
Woha is the administrative and economic center of Bima Regency on the island of Sumbawa in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Woha
Target entity description: Woha is the administrative and economic center of Bima Regency on the island of Sumbawa in Indonesia.
  • A. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • B. 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.
  • C. 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).
  • D. Dabolim
    Dabolim is a coastal town in the Indian state of Goa best known for hosting the region’s main international airport.
  • E. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a08270edd6481909230ece4487f93fd completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a0827c6a68c8190aed2d531b4fd2030 completed May 16, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a08288d98fc8190a146f43a027682f0 completed May 16, 2026, 8:19 a.m.
Created at: April 11, 2026, 11:26 p.m.