Triple

T5059034
Position Surface form Disambiguated ID Type / Status
Subject Sumbawa E113977 entity
Predicate hasCity P316 FINISHED
Object Dompu
Dompu is a town and regency capital on the island of Sumbawa in Indonesia’s West Nusa Tenggara province.
E492738 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: Dompu | Statement: [Sumbawa, hasCity, Dompu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dompu
Context triple: [Sumbawa, hasCity, Dompu]
  • A. Belu Regency
    Belu Regency is an administrative region in East Nusa Tenggara, Indonesia, located on the western part of Timor Island and bordering Timor-Leste.
  • B. Sinjai Regency
    Sinjai Regency is an administrative region in Indonesia known for its coastal landscapes, agricultural activities, and cultural diversity within the province of South Sulawesi.
  • C. Kolaka Regency
    Kolaka Regency is an administrative region in Southeast Sulawesi, Indonesia, known for its coastal location, mineral resources, and role as a regional economic hub.
  • D. Sumbawa Besar
    Sumbawa Besar is the main town and administrative center of Sumbawa Island in Indonesia’s West Nusa Tenggara province.
  • E. Wajo Regency
    Wajo Regency is an administrative region in South Sulawesi, Indonesia, historically significant as one of the core areas of Bugis culture and political power.
  • 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: Dompu
Triple: [Sumbawa, hasCity, Dompu]
Generated description
Dompu is a town and regency capital on the island of Sumbawa in Indonesia’s West Nusa Tenggara province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dompu
Target entity description: Dompu is a town and regency capital on the island of Sumbawa in Indonesia’s West Nusa Tenggara province.
  • A. Belu Regency
    Belu Regency is an administrative region in East Nusa Tenggara, Indonesia, located on the western part of Timor Island and bordering Timor-Leste.
  • B. Sinjai Regency
    Sinjai Regency is an administrative region in Indonesia known for its coastal landscapes, agricultural activities, and cultural diversity within the province of South Sulawesi.
  • C. Kolaka Regency
    Kolaka Regency is an administrative region in Southeast Sulawesi, Indonesia, known for its coastal location, mineral resources, and role as a regional economic hub.
  • D. Sumbawa Besar
    Sumbawa Besar is the main town and administrative center of Sumbawa Island in Indonesia’s West Nusa Tenggara province.
  • E. Wajo Regency
    Wajo Regency is an administrative region in South Sulawesi, Indonesia, historically significant as one of the core areas of Bugis culture and political power.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7453daac8190b2946702c6c4bd93 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb102bb348190b235e4adb7a3f88b completed March 21, 2026, 2:53 p.m.
NEDg Description generation batch_69beb407ec7881909e3643c1fd162568 completed March 21, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69beb4843b588190947b3c2ae7709e67 completed March 21, 2026, 3:08 p.m.
Created at: March 20, 2026, 1:38 p.m.