Triple

T3730420
Position Surface form Disambiguated ID Type / Status
Subject Central Sulawesi E79046 entity
Predicate hasCity P316 FINISHED
Object Luwuk
Luwuk is a coastal town and regional economic center located on the eastern coast of Central Sulawesi, Indonesia.
 E384824 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: Luwuk | Statement: [Central Sulawesi, hasCity, Luwuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luwuk
Context triple: [Central Sulawesi, hasCity, Luwuk]
  • A. Parepare
    Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
  • B. Palu
    Palu is a coastal city on the Indonesian island of Sulawesi, known as the capital of Central Sulawesi province and a regional center for trade and administration.
  • C. Labuan Bajo
    Labuan Bajo is a coastal town on the Indonesian island of Flores that serves as the main gateway for tourists visiting Komodo National Park and its famous Komodo dragons.
  • D. Kendari
    Kendari is the capital and largest city of Southeast Sulawesi Province on the Indonesian island of Sulawesi, known as a regional center for trade and maritime activities.
  • E. Ternate
    Ternate is a coastal municipality in the province of Cavite in the Philippines, known for its beaches and historical significance.
  • 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: Luwuk
Triple: [Central Sulawesi, hasCity, Luwuk]
Generated description
Luwuk is a coastal town and regional economic center located on the eastern coast of Central Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luwuk
Target entity description: Luwuk is a coastal town and regional economic center located on the eastern coast of Central Sulawesi, Indonesia.
  • A. Parepare
    Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
  • B. Palu
    Palu is a coastal city on the Indonesian island of Sulawesi, known as the capital of Central Sulawesi province and a regional center for trade and administration.
  • C. Labuan Bajo
    Labuan Bajo is a coastal town on the Indonesian island of Flores that serves as the main gateway for tourists visiting Komodo National Park and its famous Komodo dragons.
  • D. Kendari
    Kendari is the capital and largest city of Southeast Sulawesi Province on the Indonesian island of Sulawesi, known as a regional center for trade and maritime activities.
  • E. Ternate
    Ternate is a coastal municipality in the province of Cavite in the Philippines, known for its beaches and historical significance.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb1bb5408190990ea4dfbdab5c68 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db167c5881909772cf1e78717995 completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4dc41a54c819099081242687e9011 completed March 14, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_69b4dcb9235c8190af2b5a5d222e8413 completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:34 p.m.