Triple

T8688806
Position Surface form Disambiguated ID Type / Status
Subject Front de Seine high-rise complex E206232 entity
Predicate contains P35 FINISHED
Object Tour Rive Gauche E376682 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 Rive Gauche | Statement: [Front de Seine high-rise complex, contains, Tour Rive Gauche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tour Rive Gauche
Context triple: [Front de Seine high-rise complex, contains, Tour Rive Gauche]
  • A. Tour Rive Gauche chosen
    Tour Rive Gauche is a high-rise residential and office tower located along the Seine in Paris’s 15th arrondissement.
  • B. Tour Montparnasse
    Tour Montparnasse is a prominent modern skyscraper in Paris known for its height and panoramic observation deck overlooking the city.
  • C. Into a Paris Quartier
    Into a Paris Quartier is a memoir-style travel book by American author Diane Johnson that explores daily life, history, and culture in a neighborhood of Paris.
  • D. Mon Paris
    Mon Paris is a modern, fruity-floral women’s fragrance by Yves Saint Laurent Beauté known for its sweet, sensual scent and chic, contemporary Parisian style.
  • E. Le Ventre de Paris
    Le Ventre de Paris is a naturalist novel by Émile Zola that vividly portrays life around Paris’s central market, Les Halles, while exploring themes of social conflict, hunger, and abundance.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc57334b0c8190903a5a1784e74791 completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3d6904c8190a8456a99dae87bf2 completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:33 p.m.