Triple

T2976044
Position Surface form Disambiguated ID Type / Status
Subject West Sulawesi E80398 entity
Predicate capital P234 FINISHED
Object Mamuju
Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
 E316096 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: Mamuju | Statement: [West Sulawesi, capital, Mamuju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mamuju
Context triple: [West Sulawesi, capital, Mamuju]
  • A. Ulsan
    Ulsan is a major industrial city in southeastern South Korea, known for its large automobile, shipbuilding, and petrochemical complexes.
  • B. Gwangju
    Gwangju is a major metropolitan city in southwestern South Korea known for its rich cultural heritage and pivotal role in the country’s pro-democracy movement.
  • C. Uiwang
    Uiwang is a small inland city in South Korea known for its transportation infrastructure and proximity to Seoul.
  • D. Daejeon
    Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
  • E. Busan
    Busan is South Korea’s second-largest city and a major international port known for its bustling harbor, beaches, and coastal scenery.
  • 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: Mamuju
Triple: [West Sulawesi, capital, Mamuju]
Generated description
Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mamuju
Target entity description: Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
  • A. Ulsan
    Ulsan is a major industrial city in southeastern South Korea, known for its large automobile, shipbuilding, and petrochemical complexes.
  • B. Gwangju
    Gwangju is a major metropolitan city in southwestern South Korea known for its rich cultural heritage and pivotal role in the country’s pro-democracy movement.
  • C. Uiwang
    Uiwang is a small inland city in South Korea known for its transportation infrastructure and proximity to Seoul.
  • D. Daejeon
    Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
  • E. Busan
    Busan is South Korea’s second-largest city and a major international port known for its bustling harbor, beaches, and coastal scenery.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998ad5308190a012ec4940eb46cb completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108e99ea881908cccc6656e8653c3 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b109fc0f308190b1a0105a67491c54 completed March 11, 2026, 6:21 a.m.
NED2 Entity disambiguation (via description) batch_69b10a78414481908689ac3ba5265388 completed March 11, 2026, 6:23 a.m.
Created at: March 8, 2026, 2:58 p.m.