Triple

T17508616
Position Surface form Disambiguated ID Type / Status
Subject Naval School of San Fernando E426390 entity
Predicate namedAfter P63 FINISHED
Object San Fernando — NE NERFINISHED

How this triple was built (3 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 Fernando | Statement: [Naval School of San Fernando, namedAfter, San Fernando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Fernando
Context triple: [Naval School of San Fernando, namedAfter, San Fernando]
  • A. San Fernando
    San Fernando is a principal urban center and agricultural hub in central Chile’s O’Higgins Region.
  • B. San Fernando
    San Fernando is a locality within the municipality of Huixquilucan in the State of Mexico, forming part of the greater Mexico City metropolitan area.
  • C. San Fernando
    San Fernando is a coastal municipality located in the island province of Romblon in the Philippines.
  • D. San Fernando
    San Fernando is a coastal municipality in the province of Cebu in the Philippines, situated within the greater Metro Cebu area.
  • E. San Fernando
    San Fernando is a major industrial and commercial city located in the southern part of Trinidad, known for its energy sector and bustling urban center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Fernando
Target entity description: San Fernando is a coastal city in the Province of Cádiz, Andalusia, Spain, historically significant as a naval and military center.
  • A. San Fernando chosen
    San Fernando is a coastal city in the Province of Cádiz, Andalusia, Spain, known for its naval base, salt marshes, and historical role in the Spanish War of Independence.
  • B. San Fernando
    San Fernando is a coastal municipality in the province of Cebu in the Philippines, situated within the greater Metro Cebu area.
  • C. San Fernando
    San Fernando is a coastal municipality located in the island province of Romblon in the Philippines.
  • D. San Fernando
    San Fernando is a coastal municipality in the Philippine province of Masbate, known for its rural communities and fishing-based local economy.
  • E. San Fernando
    San Fernando is a Philippine city on the island of Luzon known as a regional commercial and administrative center.
  • F. None of above.

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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525985f881909a5ad28b30762680 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.