Triple

T13303197
Position Surface form Disambiguated ID Type / Status
Subject Gironès E316865 entity
Predicate contains P35 FINISHED
Object Sant Gregori E1028927 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: Sant Gregori | Statement: [Gironès, contains, Sant Gregori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sant Gregori
Context triple: [Gironès, contains, Sant Gregori]
  • A. Sant Gregori chosen
    Sant Gregori is a municipality in the comarca of Gironès in Catalonia, northeastern Spain, known for its rural landscape and proximity to the city of Girona.
  • B. Sant Joan Baptista
    Sant Joan Baptista is a residential neighborhood within the municipality of Sant Adrià de Besòs in the metropolitan area of Barcelona, Spain.
  • C. Gregory of Valencia
    Gregory of Valencia was a late 16th-century Jesuit theologian and influential Baroque scholastic whose extensive commentaries on Thomas Aquinas shaped post-Tridentine Catholic theology.
  • D. Sant Roc
    Sant Roc is a Barcelona Metro station serving the Sant Roc neighborhood in the city of Badalona, within the Barcelona metropolitan area.
  • E. Francesc de Paula
    Francesc de Paula is a Catalan given name commonly used in Spanish-speaking regions, often associated with historical and cultural figures from Catalonia.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.