Triple

T14601364
Position Surface form Disambiguated ID Type / Status
Subject Barrière d’Enfer pavilions E342711 entity
Predicate locatedNear P294 FINISHED
Object Rue Froidevaux 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: Rue Froidevaux | Statement: [Barrière d’Enfer pavilions, locatedNear, Rue Froidevaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rue Froidevaux
Context triple: [Barrière d’Enfer pavilions, locatedNear, Rue Froidevaux]
  • A. Rue Froidevaux chosen
    Rue Froidevaux is a street in Paris, France, located in the 14th arrondissement near the Montparnasse district.
  • B. Rue de Lancry
    Rue de Lancry is a street in Paris, France, situated in the 10th arrondissement near major transport links and known for its mix of cafés, shops, and residential buildings.
  • C. Rue Croulebarbe
    Rue Croulebarbe is a street in Paris, France, situated in the 13th arrondissement within the Croulebarbe neighborhood.
  • D. Rue Belliard
    Rue Belliard is a major street in Brussels’ European Quarter, lined with EU institutions, offices, and diplomatic buildings.
  • E. Rue Sous-le-Fort
    Rue Sous-le-Fort is a historic, narrow street in Quebec City's Old Quebec district, known for its charming architecture, boutiques, and proximity to the St. Lawrence River.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
Created at: April 10, 2026, 1:25 a.m.