Triple

T15527393
Position Surface form Disambiguated ID Type / Status
Subject Archivo General de Simancas E369117 entity
Predicate locatedIn P40 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: [Archivo General de Simancas, locatedIn, Simancas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simancas
Context triple: [Archivo General de Simancas, locatedIn, 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. de Cuéllar
    de Cuéllar is a Spanish surname historically associated with figures such as the conquistador Diego Velázquez de Cuéllar.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d598e6c8190870e9249197f5f53 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.