Triple

T10913832
Position Surface form Disambiguated ID Type / Status
Subject Transilien Line U E257767 entity
Predicate hasStation P35 FINISHED
Object Versailles-Chantiers E894244 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: Versailles-Chantiers | Statement: [Transilien Line U, hasStation, Versailles-Chantiers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Versailles-Chantiers
Context triple: [Transilien Line U, hasStation, Versailles-Chantiers]
  • A. Versailles-Chantiers chosen
    Versailles-Chantiers is a major railway station in Versailles, France, serving as an important suburban and regional transport hub in the Paris metropolitan area.
  • B. Le Coudray-Montceaux
    Le Coudray-Montceaux is a commune in the Île-de-France region of northern France, situated in the Essonne department south of Paris.
  • C. Le Creusot
    Le Creusot is an industrial town in eastern France historically known for its steelworks and heavy engineering industries.
  • D. La Roche-Guyon
    La Roche-Guyon is a picturesque village in northern France on the banks of the Seine, known for its historic château built into limestone cliffs.
  • E. Fontaine-Henry
    Fontaine-Henry is a commune in the Calvados department of northwestern France, noted for its historic Château de Fontaine-Henry with exceptionally high slate roofs.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77073d12881908ea59771b84bc804 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bbf70688190be9315a75582dbe2 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:22 p.m.