Triple

T21181380
Position Surface form Disambiguated ID Type / Status
Subject Atlético Huila E521957 entity
Predicate location P40 FINISHED
Object Neiva 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: Neiva | Statement: [Atlético Huila, location, Neiva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neiva
Context triple: [Atlético Huila, location, Neiva]
  • A. Neiva chosen
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • B. Bemposta
    Bemposta is a civil parish located within the municipality of Abrantes in central Portugal.
  • C. Barretos
    Barretos is a municipality in the Brazilian state of São Paulo, widely known for hosting one of the largest annual rodeo festivals in Latin America.
  • D. Arruda
    Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
  • E. Maicao
    Maicao is a Colombian border city in the northeastern La Guajira region, known as a major commercial hub with significant Arab and Wayuu indigenous communities.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301da0ac8190a965fee7b6d845e7 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:01 p.m.