Triple

T3270107
Position Surface form Disambiguated ID Type / Status
Subject Loir E68625 entity
Predicate sourceLocation P40 FINISHED
Object Perche E258304 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: Perche | Statement: [Loir, sourceLocation, Perche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perche
Context triple: [Loir, sourceLocation, Perche]
  • A. Perche chosen
    Perche is a historic rural region in northwestern France known for its rolling countryside, forests, and traditional manors.
  • B. Pero
    Pero is a West Chadic language spoken in parts of Nigeria.
  • C. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • D. Peutie
    Peutie is a village in Flemish Brabant, Belgium, that forms a residential suburb of the nearby city of Vilvoorde.
  • E. Peris
    Peris is a surname and given name found in various cultures, often considered a variant of the name Peres.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff349148190beae8c0994b7ad83 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28efded588190bd6c361e5298b496 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.