Triple

T10533050
Position Surface form Disambiguated ID Type / Status
Subject Province of León E248491 entity
Predicate contains P35 FINISHED
Object Sahagún E248494 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: Sahagún | Statement: [Province of León, contains, Sahagún]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahagún
Context triple: [Province of León, contains, Sahagún]
  • A. Sahagún chosen
    Sahagún is a historic town in northwestern Spain, known for its medieval architecture and role along the Camino de Santiago pilgrimage route.
  • B. Sahagún
    Sahagún is a municipality and town in northern Colombia’s Córdoba Department, known as a regional commercial and agricultural center.
  • C. Simancas
    Simancas is a historic town in Spain renowned for its royal archive, which houses some of the country’s most important state documents.
  • D. San Miguel de Lillo
    San Miguel de Lillo is a 9th-century pre-Romanesque church near Oviedo in Asturias, Spain, renowned for its distinctive Asturian architecture and UNESCO World Heritage status.
  • E. Zamora
    Zamora is a city in the Mexican state of Michoacán known for its agricultural production, colonial architecture, and religious landmarks such as the Cathedral of Our Lady of Guadalupe.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a19b59c8190b00db7d5813ad37d completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9340da2948190950e7c0ceea12cb1 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:30 p.m.