Triple

T15788855
Position Surface form Disambiguated ID Type / Status
Subject San Blas-Canillejas E382808 entity
Predicate hasMetroStation P522 FINISHED
Object Simancas E369117 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: Simancas | Statement: [San Blas-Canillejas, hasMetroStation, Simancas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simancas
Context triple: [San Blas-Canillejas, hasMetroStation, Simancas]
  • A. Simancas chosen
    Simancas is a historic town in Spain renowned for its royal archive, which houses some of the country’s most important state documents.
  • B. Sahagún
    Sahagún was a 16th-century Franciscan friar and pioneering ethnographer whose extensive work recorded the culture, religion, and history of the Aztec people.
  • C. Sahagún
    Sahagún is a municipality and town in northern Colombia’s Córdoba Department, known as a regional commercial and agricultural center.
  • D. Sahagún
    Sahagún is a historic town in northwestern Spain, known for its medieval architecture and role along the Camino de Santiago pilgrimage route.
  • E. Santiago de Montalegre
    Santiago de Montalegre is a civil parish within the municipality of Sardoal in central Portugal, known for its rural character and traditional Portuguese village landscape.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a87e3c8190a1c5b13cbfdff54a completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.