Triple

T9179164
Position Surface form Disambiguated ID Type / Status
Subject Tierra de Barros E220275 entity
Predicate capital P234 FINISHED
Object Almendralejo E792335 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: Almendralejo | Statement: [Tierra de Barros, capital, Almendralejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almendralejo
Context triple: [Tierra de Barros, capital, Almendralejo]
  • A. Almendralejo chosen
    Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
  • B. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • C. Illescas
    Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
  • D. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • E. Brihuega
    Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc25064588190856c96b229d9cd60 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d100b451c88190aae0ef240906ce0c completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 7:23 p.m.