Triple

T10537772
Position Surface form Disambiguated ID Type / Status
Subject Courbevoie E248615 entity
Predicate hasLandmark P105 FINISHED
Object Tour First E236673 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 First | Statement: [Courbevoie, hasLandmark, Tour First]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tour First
Context triple: [Courbevoie, hasLandmark, Tour First]
  • A. Tour First chosen
    Tour First is a prominent skyscraper in the La Défense business district of Paris, known as one of the tallest office towers in France.
  • B. Main Tour
    Main Tour was the former primary professional snooker circuit that preceded and was later superseded by the World Snooker Tour.
  • C. Tour Totem
    Tour Totem is a modern high-rise residential and office building located in Paris’s Grenelle district near the Seine.
  • D. Tour Total
    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.
  • E. Tour Voile
    Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
  • 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.