Triple

T22600091
Position Surface form Disambiguated ID Type / Status
Subject Denys Lasdun E574789 entity
Predicate hasSurname P18 FINISHED
Object Lasdun 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: Lasdun | Statement: [Denys Lasdun, hasSurname, Lasdun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasdun
Context triple: [Denys Lasdun, hasSurname, Lasdun]
  • A. Lasdun chosen
    Lasdun is the surname of Denys Lasdun, a prominent British architect known for his modernist designs such as the Royal National Theatre in London.
  • B. Rocafort
    Rocafort is a municipality in the province of Valencia, Spain, known in part for having hosted the poet Antonio Machado during his exile in the Spanish Civil War.
  • C. Andújar
    Andújar is a historic town in the province of Jaén, Andalusia, Spain, known for its olive oil production and its location near the Sierra de Andújar Natural Park.
  • D. Aramburu
    Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
  • E. Larráinzar
    Larráinzar is a municipality in the highland region of Chiapas, Mexico, known for its indigenous Tzotzil Maya population and traditional culture.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626c6ce08190b991e89b12c67a5a completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.