Triple

T22491277
Position Surface form Disambiguated ID Type / Status
Subject Costa Rica national under-23 football team E556023 entity
Predicate homeCity P263 FINISHED
Object San José — 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: San José | Statement: [Costa Rica national under-23 football team, homeCity, San José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San José
Context triple: [Costa Rica national under-23 football team, homeCity, San José]
  • A. San José chosen
    San José is the capital and largest city of Costa Rica, known for its political, economic, and cultural significance in Central America.
  • B. San José
    San José is a station on the Buenos Aires Underground, part of the city’s rapid transit network in Argentina.
  • C. San José
    San José is a major city in Northern California’s Silicon Valley, known as a hub for technology, innovation, and diverse communities.
  • D. San José
    San José is the largest city in Northern California’s Silicon Valley, known as a major technology and innovation hub.
  • E. San José
    San José is a lakeside town in Guatemala’s Petén region, known for its proximity to Mayan archaeological sites and its location on the shores of Lake Petén Itzá.
  • 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15caea9d081909adc90ae78999d53 completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:49 p.m.