Triple

T11433338
Position Surface form Disambiguated ID Type / Status
Subject Almagro E270941 entity
Predicate etymologyRelatedTo P453 FINISHED
Object Almagro, Ciudad Real E306618 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: Almagro, Ciudad Real | Statement: [Almagro, etymologyRelatedTo, Almagro, Ciudad Real]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almagro, Ciudad Real
Context triple: [Almagro, etymologyRelatedTo, Almagro, Ciudad Real]
  • A. Medina del Campo
    Medina del Campo is a historic town in the province of Valladolid, Spain, known for its medieval fairs, strategic importance in Castilian history, and association with Queen Isabella I.
  • B. Ciudad Real chosen
    Ciudad Real is a historic provincial capital in central Spain known for its location on the Castilian plateau and its connections to the La Mancha region.
  • C. Cintray
    Cintray is a small French commune located in the Eure department in the Normandy region of northern France.
  • D. Alcalá-Zamora
    Alcalá-Zamora is the surname of Niceto Alcalá-Zamora, a prominent Spanish lawyer and politician who served as the first President of the Second Spanish Republic.
  • E. Almendralejo
    Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d379f8d48190860a1ef98505c42e completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.