Triple

T22792221
Position Surface form Disambiguated ID Type / Status
Subject S’Algar E564140 entity
Predicate partOf P40 FINISHED
Object Sant Lluís 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: Sant Lluís | Statement: [S’Algar, partOf, Sant Lluís]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sant Lluís
Context triple: [S’Algar, partOf, Sant Lluís]
  • A. Sant Lluís chosen
    Sant Lluís is a small coastal municipality on the southeastern tip of the Spanish island of Menorca, known for its whitewashed architecture, nearby beaches, and French-influenced heritage.
  • B. Sant Martí
    Sant Martí is a Barcelona Metro station on line 2 serving the Sant Martí district in the northeastern part of the city.
  • C. Sant Quirze de Besora
    Sant Quirze de Besora is a small municipality in the Catalan region of central-eastern Spain, situated along the Ter River and known for its rural character and historical bridges.
  • D. Sant Ildefons
    Sant Ildefons is a Barcelona Metro station serving the municipality of Cornellà de Llobregat in the metropolitan area of Barcelona, Spain.
  • E. Sant Pere
    Sant Pere is a historic neighborhood in central Barcelona, known for its medieval streets, cultural landmarks, and proximity to the city’s old town.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd5778c81909a18317ff98e341c completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.