Triple

T22638136
Position Surface form Disambiguated ID Type / Status
Subject San Juan de la Peña Monastery E558736 entity
Predicate near P350 FINISHED
Object city of Jaca NE NERFINISHED

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: city of Jaca | Statement: [San Juan de la Peña Monastery, near, city of Jaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Jaca
Context triple: [San Juan de la Peña Monastery, near, city of Jaca]
  • A. City of Jaca chosen
    The City of Jaca is a historic town in northeastern Spain’s Aragon region, known as a key Pyrenean gateway with medieval architecture and a famous citadel.
  • B. Daroca
    Daroca is a historic fortified town in northeastern Spain known for its medieval walls, towers, and well-preserved old quarter.
  • C. City of Mazarrón
    The City of Mazarrón is a coastal municipality in southeastern Spain known for its Mediterranean beaches, fishing and agricultural economy, and archaeological and mining heritage.
  • D. city of Loja
    The city of Loja is a cultural and musical hub in southern Ecuador, known for its colonial architecture, universities, and role as a regional economic center.
  • E. Baeza
    Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700f9fac8190b82190a54be22413 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.