Triple

T17846960
Position Surface form Disambiguated ID Type / Status
Subject Central Valley (Costa Rica) E445688 entity
Predicate hasMajorCity P316 FINISHED
Object Santa Ana E632346 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: Santa Ana | Statement: [Central Valley (Costa Rica), hasMajorCity, Santa Ana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Ana
Context triple: [Central Valley (Costa Rica), hasMajorCity, Santa Ana]
  • A. Santa Ana
    Santa Ana is a major city in Orange County, California, known as a dense urban and governmental center within the Greater Los Angeles metropolitan area.
  • B. Santa Ana
    Santa Ana is a barangay (village-level administrative division) within the highly urbanized city of Taguig in Metro Manila, Philippines.
  • C. Santa Ana chosen
    Santa Ana is a suburban city in Costa Rica known for its upscale residential areas, commercial development, and proximity to the capital, San José.
  • D. Santa Ana
    Santa Ana is a small inhabited island in the Solomon Islands’ Makira-Ulawa Province, known for its traditional culture and coastal village communities.
  • E. Santa Ana
    Santa Ana is a coastal municipality in the province of Cagayan in the Philippines, known for its beaches, marine biodiversity, and the Cagayan Special Economic Zone.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffb35248190a80a428686e06d87 completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03430e31d88190ae7c8c793f5195b3 completed May 12, 2026, 3:11 p.m.
Created at: April 10, 2026, 10:16 a.m.