Triple

T6826316
Position Surface form Disambiguated ID Type / Status
Subject GCLP E157023 entity
Predicate locatedNear P294 FINISHED
Object Ingenio E287690 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: Ingenio | Statement: [GCLP, locatedNear, Ingenio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingenio
Context triple: [GCLP, locatedNear, Ingenio]
  • A. Ingenio chosen
    Ingenio is a barrio (district) of the municipality of Toa Baja in Puerto Rico, functioning as one of its local residential and administrative subdivisions.
  • B. Ingenio
    Ingenio is a municipality on the island of Gran Canaria in Spain’s Canary Islands, known for its proximity to Gran Canaria Airport and its traditional Canarian culture.
  • C. La Máquina
    La Máquina is the popular nickname of Mexican football club Cruz Azul, highlighting its reputation as a powerful, relentless team.
  • D. Engenhão
    Engenhão is a multi-purpose stadium in Rio de Janeiro, Brazil, best known as the home ground of Botafogo FR and a venue for major football matches and athletics events.
  • E. La Pila
    La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d58375248190935dd38d618994e3 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fa6fc80819081f012ea2207c25a completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:18 p.m.