Triple

T3835423
Position Surface form Disambiguated ID Type / Status
Subject Antonio Raimondi E91118 entity
Predicate hasMonumentIn P1098 FINISHED
Object San Pedro de Lloc E393011 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: San Pedro de Lloc | Statement: [Antonio Raimondi, hasMonumentIn, San Pedro de Lloc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pedro de Lloc
Context triple: [Antonio Raimondi, hasMonumentIn, San Pedro de Lloc]
  • A. San Pedro de Lloc chosen
    San Pedro de Lloc is a coastal town in northern Peru known for its colonial architecture and historical significance in the La Libertad region.
  • B. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • C. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • D. Sant Lluís
    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.
  • E. Manresa
    Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9a27508190b05e5312cc7c8033 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512259d048190be25add7e38a0326 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:18 p.m.