Triple

T3983734
Position Surface form Disambiguated ID Type / Status
Subject CDGVAL E86819 entity
Predicate serviceArea P82 FINISHED
Object Tremblay-en-France E65652 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: Tremblay-en-France | Statement: [CDGVAL, serviceArea, Tremblay-en-France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tremblay-en-France
Context triple: [CDGVAL, serviceArea, Tremblay-en-France]
  • A. Tremblay-en-France chosen
    Tremblay-en-France is a commune in the northeastern suburbs of Paris, France, best known for hosting most of Paris Charles de Gaulle Airport on its territory.
  • B. Villeneuve-la-Garenne
    Villeneuve-la-Garenne is a suburban commune in the northern part of the Paris metropolitan area in France.
  • C. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • D. Roquebrun
    Roquebrun is a picturesque village in southern France’s Hérault department, known for its Mediterranean microclimate, wine production, and scenic setting amid hills and river landscapes.
  • E. Bonneuil-en-France
    Bonneuil-en-France is a small commune in the Val-d'Oise department in northern France, situated in the northeastern suburbs of Paris near major transport and aviation hubs.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9de58d48190969f354a1bf0df94 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540284d548190821d37b68974a2d2 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.