Triple

T10537771
Position Surface form Disambiguated ID Type / Status
Subject Courbevoie E248615 entity
Predicate hasLandmark P105 FINISHED
Object Tour TotalEnergies E236674 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: Tour TotalEnergies | Statement: [Courbevoie, hasLandmark, Tour TotalEnergies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tour TotalEnergies
Context triple: [Courbevoie, hasLandmark, Tour TotalEnergies]
  • A. Tour Total chosen
    Tour Total is a prominent skyscraper and major office tower in the La Défense business district near Paris, serving as a key part of the area’s modern skyline.
  • B. Tour Mercure
    Tour Mercure is a residential high-rise tower located within the Front de Seine complex in Paris, France.
  • C. Tour Voile
    Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
  • D. Tour Bonbec
    Tour Bonbec is a historic medieval tower of the Conciergerie in Paris, notable for its role in the former royal palace and prison complex on the Île de la Cité.
  • E. Tour Ronde
    Tour Ronde is a prominent granite peak in the Mont Blanc massif of the Alps, popular with climbers for its accessible mixed routes and panoramic views.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a56133c819088285522e64831f7 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e5b827881909e87651a88976f18 completed April 10, 2026, 2:51 p.m.
Created at: April 6, 2026, 12:31 p.m.