Triple

T22311348
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Buin E551520 entity
Predicate administers P123 FINISHED
Object city of Buin NE NERFINISHED

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: city of Buin | Statement: [Municipality of Buin, administers, city of Buin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Buin
Context triple: [Municipality of Buin, administers, city of Buin]
  • A. Buin chosen
    Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
  • B. Buin
    Buin are an indigenous ethnic group from the southern part of Bougainville Island in Papua New Guinea, known for their distinct language and cultural traditions.
  • C. Aigaleo city
    Aigaleo city is a suburban area of Athens, Greece, known for its dense urban character and role as a residential and commercial hub within the Athens metropolitan region.
  • D. city of Porvenir
    The city of Porvenir is the principal urban center and capital of the Chilean province of Tierra del Fuego, located on the island’s northern coast in southern Patagonia.
  • E. city of Lupeni
    The city of Lupeni is a mining town in the Jiu Valley region of western Romania, known historically for its coal industry and workers’ movements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574e7fc0819080e3e85001ab2c90 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.