Triple

T17682397
Position Surface form Disambiguated ID Type / Status
Subject Pablo Casado E440801 entity
Predicate placeOfBirth P1 FINISHED
Object Palencia 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: Palencia | Statement: [Pablo Casado, placeOfBirth, Palencia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palencia
Context triple: [Pablo Casado, placeOfBirth, Palencia]
  • A. Palencia
    Palencia is a municipality and town located in the Guatemala Department of Guatemala, known for its rural character and proximity to Guatemala City.
  • B. Palencia chosen
    Palencia is a historic city in northwestern Spain known for its Romanesque architecture and role as the capital of the province of the same name.
  • C. Soria
    Soria is a historic and sparsely populated province in north-central Spain, known for its medieval heritage, natural landscapes, and role within the autonomous community of Castile and León.
  • D. Valladolid
    Valladolid is a historic city in northwestern Spain that served as a major political and cultural center, including as a former capital of the Spanish monarchy.
  • E. Valladolid
    Valladolid is a small municipality located in the Lempira Department of western Honduras, known for its rural character and mountainous terrain.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704514d481908aad4172fa930e6b completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:02 a.m.