Triple

T17349187
Position Surface form Disambiguated ID Type / Status
Subject Avenida Sexta E421761 entity
Predicate locatedIn P40 FINISHED
Object San José NE ONNED1

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: [Avenida Sexta, locatedIn, San José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San José
Context triple: [Avenida Sexta, locatedIn, San José]
  • A. San José
    San José is a station on the Buenos Aires Underground, part of the city’s rapid transit network in Argentina.
  • B. 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.
  • C. San José
    San José is a small coastal village in Spain’s Cabo de Gata-Níjar Natural Park, known for its picturesque beaches, whitewashed houses, and role as a gateway to the park’s protected landscapes.
  • D. 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.
  • E. San José
    San José is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2af5f88190b4c292ca30993b36 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019552a0208190bd8bd0f9588911c3 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.