Triple

T4407657
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of Justice of Costa Rica E93773 entity
Predicate location P40 FINISHED
Object San José, Costa Rica E29798 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: San José, Costa Rica | Statement: [Supreme Court of Justice of Costa Rica, location, San José, Costa Rica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San José, Costa Rica
Context triple: [Supreme Court of Justice of Costa Rica, location, San José, Costa Rica]
  • A. San Salvador
    San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
  • B. Juigalpa
    Juigalpa is a city in central Nicaragua that serves as the capital of the Chontales Department and a regional hub for agriculture and cattle ranching.
  • C. Place du Costa Rica
    Place du Costa Rica is a small public square in Paris’s 16th arrondissement, located near the Passy metro station and named in honor of the Central American country.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3548b1ca08190b3136867c7098d86 completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f609f7f881909d12735f4028a108 completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:28 p.m.