Triple

T20030073
Position Surface form Disambiguated ID Type / Status
Subject Paredes E495097 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Paredes (city) 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: Paredes (city) | Statement: [Paredes, hasAdministrativeCentre, Paredes (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paredes (city)
Context triple: [Paredes, hasAdministrativeCentre, Paredes (city)]
  • A. Paredes
    Paredes is a Spanish and Portuguese surname borne by numerous notable figures across fields such as music, sports, and politics.
  • B. Paredes chosen
    Paredes is a municipality in northern Portugal known for its historical heritage and proximity to the Porto metropolitan area.
  • C. Perales del Puerto
    Perales del Puerto is a small rural municipality in the Sierra de Gata region of Extremadura, western Spain.
  • D. Paredes de Nava
    Paredes de Nava is a historic town in northern Spain known for its medieval heritage and association with notable Renaissance artists and writers.
  • E. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66291a00c8190b0b895909f32d623 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.