Triple

T13201030
Position Surface form Disambiguated ID Type / Status
Subject Province of Madrid E314239 entity
Predicate contains P35 FINISHED
Object San Sebastián de los Reyes E107669 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 Sebastián de los Reyes | Statement: [Province of Madrid, contains, San Sebastián de los Reyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Sebastián de los Reyes
Context triple: [Province of Madrid, contains, San Sebastián de los Reyes]
  • A. San Sebastián de los Reyes chosen
    San Sebastián de los Reyes is a municipality in central Spain known for its proximity to Madrid and its traditional bull-running festivities.
  • B. Santiago de Palos
    Santiago de Palos was one of the ships in Christopher Columbus’s fourth and final voyage to the Americas in the early 16th century.
  • C. Gondomar
    Gondomar is a municipality in Portugal’s Porto District, known for its proximity to Porto and its traditional goldsmithing and jewelry industry.
  • D. San Fernando de Henares
    San Fernando de Henares is a municipality in the Community of Madrid, Spain, known for its industrial areas and proximity to Madrid’s metropolitan core.
  • E. Santo Tomás de Castilla
    Santo Tomás de Castilla is a major Caribbean seaport in eastern Guatemala that serves as one of the country’s principal gateways for international maritime trade.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6591d881909a6ebc22246caead completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1a3d68819089ad35f8f9ff5c5a completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:16 p.m.