Triple

T22691143
Position Surface form Disambiguated ID Type / Status
Subject Keylor Navas E561053 entity
Predicate placeOfBirth P1 FINISHED
Object San Isidro de El General — 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 Isidro de El General | Statement: [Keylor Navas, placeOfBirth, San Isidro de El General]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Isidro de El General
Context triple: [Keylor Navas, placeOfBirth, San Isidro de El General]
  • A. San Isidro de El General chosen
    San Isidro de El General is a town in southern Costa Rica known historically as a focal point for guerrilla activity by the Army of National Liberation.
  • B. San Isidro
    San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
  • C. San Isidro
    San Isidro is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and fishing-based local economy.
  • D. San Isidro
    San Isidro is a municipality in the Philippine province of Abra, known as a small rural local government unit in the Cordillera Administrative Region.
  • E. San Isidro
    San Isidro is a rural municipality in the Philippine province of Isabela, known primarily for its agricultural communities and rice farming.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789adcc48190b4a717166d5dba19 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.