Triple

T17283828
Position Surface form Disambiguated ID Type / Status
Subject Saint-Amable E419599 entity
Predicate locatedNear P294 FINISHED
Object Varennes E419598 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: Varennes | Statement: [Saint-Amable, locatedNear, Varennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varennes
Context triple: [Saint-Amable, locatedNear, Varennes]
  • A. Varennes chosen
    Varennes is a suburban city located on the south shore of the Saint Lawrence River in the Montérégie region of Quebec, Canada.
  • B. Varennes-Saint-Sauveur
    Varennes-Saint-Sauveur is a rural commune in the Saône-et-Loire department in eastern France, known for its agricultural landscape and small-village character.
  • C. Racamier
    Racamier is a French surname most notably borne by Henri Racamier, the businessman who transformed Louis Vuitton into a global luxury brand.
  • D. Pont Louis XVI
    Pont Louis XVI was the original name of the Parisian bridge now known as Pont de la Concorde, which spans the Seine near Place de la Concorde.
  • E. Varennes-Jarcy
    Varennes-Jarcy is a small commune in the Essonne department of the Île-de-France region in northern France, known for its semi-rural character and proximity to the southeastern suburbs of Paris.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332bd324819080795152293d6d43 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179535ae08190ac0137d0f8741919 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.