Triple

T18157364
Position Surface form Disambiguated ID Type / Status
Subject La Condamine district E434666 entity
Predicate borders P224 FINISHED
Object Fontvieille district 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: Fontvieille district | Statement: [La Condamine district, borders, Fontvieille district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fontvieille district
Context triple: [La Condamine district, borders, Fontvieille district]
  • A. Fontvieille chosen
    Fontvieille is a modern district of Monaco built largely on reclaimed land, known for its marina, residential complexes, and commercial facilities.
  • B. Fontvieille
    Fontvieille is a village in southern France’s Provence region, known for its historic windmills, stone quarries, and picturesque Provençal landscape.
  • C. Val-Fleury district
    Val-Fleury district is a neighborhood of the Parisian suburb Meudon, known for its residential character and proximity to local transport and amenities.
  • D. Balard district
    The Balard district is a neighborhood in southwest Paris known for hosting major French defense and aerospace institutions, including the Ministry of the Armed Forces headquarters.
  • E. Quartier Part-Dieu
    Quartier Part-Dieu is Lyon’s main business district, known for its high-rise offices, major shopping center, and one of France’s busiest railway stations.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4debf43348190a22f23a4bbfab433 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.