Triple

T5059063
Position Surface form Disambiguated ID Type / Status
Subject Sumbawa E113977 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Bima City
Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
E491218 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: Bima City | Statement: [Sumbawa, hasAdministrativeDivision, Bima City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bima City
Context triple: [Sumbawa, hasAdministrativeDivision, Bima City]
  • A. Mataram
    Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
  • B. Mataram
    Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
  • C. Jember
    Jember is a regency and major urban center in eastern Java, Indonesia, known for its agricultural economy and cultural festivals such as the Jember Fashion Carnaval.
  • D. Pasuruan
    Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
  • E. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • 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: Bima City
Triple: [Sumbawa, hasAdministrativeDivision, Bima City]
Generated description
Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bima City
Target entity description: Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
  • A. Mataram
    Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
  • B. Mataram
    Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
  • C. Jember
    Jember is a regency and major urban center in eastern Java, Indonesia, known for its agricultural economy and cultural festivals such as the Jember Fashion Carnaval.
  • D. Pasuruan
    Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
  • E. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • 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_69bea49283f48190b5db5ad78f332f95 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea67c2c3c8190af0caba391bfe69c completed March 21, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69beaa2c9bf88190b9f96474a1b4f13d completed March 21, 2026, 2:24 p.m.
Created at: March 20, 2026, 1:38 p.m.