Triple

T13190773
Position Surface form Disambiguated ID Type / Status
Subject South Minahasa Regency E313978 entity
Predicate capital P234 FINISHED
Object Amurang
Amurang is a coastal town in North Sulawesi, Indonesia, known as an administrative and economic center in the region.
 E1027280 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: Amurang | Statement: [South Minahasa Regency, capital, Amurang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amurang
Context triple: [South Minahasa Regency, capital, Amurang]
  • A. Hinatuan
    Hinatuan is a coastal municipality in the province of Surigao del Sur in the Philippines, best known for its clear blue Hinatuan Enchanted River.
  • B. Parepare
    Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
  • C. Mangkasar
    Mangkasar is the historical name for Makassar, a major port city and cultural center on the island of Sulawesi in Indonesia.
  • D. Sibolga
    Sibolga is a coastal city and port on the western coast of Sumatra, Indonesia, known as a gateway to nearby islands and marine tourism areas.
  • E. Salaga
    Salaga is a historic town in northern Ghana that once served as a major hub in the trans-Saharan slave trade.
  • 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: Amurang
Triple: [South Minahasa Regency, capital, Amurang]
Generated description
Amurang is a coastal town in North Sulawesi, Indonesia, known as an administrative and economic center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amurang
Target entity description: Amurang is a coastal town in North Sulawesi, Indonesia, known as an administrative and economic center in the region.
  • A. Hinatuan
    Hinatuan is a coastal municipality in the province of Surigao del Sur in the Philippines, best known for its clear blue Hinatuan Enchanted River.
  • B. Parepare
    Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
  • C. Mangkasar
    Mangkasar is the historical name for Makassar, a major port city and cultural center on the island of Sulawesi in Indonesia.
  • D. Sibolga
    Sibolga is a coastal city and port on the western coast of Sumatra, Indonesia, known as a gateway to nearby islands and marine tourism areas.
  • E. Salaga
    Salaga is a historic town in northern Ghana that once served as a major hub in the trans-Saharan slave trade.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5fef9e48190961d66ebcc1df11f completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f80b420c8190b5028be4fa99fb59 completed May 3, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69f6f89072a88190b3182f581b1b6762 completed May 3, 2026, 7:26 a.m.
Created at: April 9, 2026, 9:15 p.m.