Triple

T13476343
Position Surface form Disambiguated ID Type / Status
Subject Mamasa Regency E318261 entity
Predicate containsSettlement P847 FINISHED
Object Mamasa E1043466 NE FINISHED

How this triple was built (2 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: Mamasa | Statement: [Mamasa Regency, containsSettlement, Mamasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mamasa
Context triple: [Mamasa Regency, containsSettlement, Mamasa]
  • A. Mamasa chosen
    Mamasa is a town in West Sulawesi, Indonesia, known as an administrative and cultural center of the surrounding highland region.
  • B. Mocoa
    Mocoa is a small city in southwestern Colombia, known as the administrative and commercial center of the Putumayo region and as a gateway to the Amazon foothills.
  • C. Tumaco
    Tumaco is a coastal city and municipality in southwestern Colombia, known for its Afro-Colombian culture, Pacific beaches, and rich pre-Hispanic goldworking heritage.
  • D. San José del Guaviare
    San José del Guaviare is a Colombian town and municipality known as a gateway to the Amazon, featuring jungle landscapes, rivers, and nearby rock formations and ancient rock art.
  • E. Rurrenabaque
    Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2551b48190a074fd256791742d completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547f6b1c8190965b239da0b47e93 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:42 p.m.