Triple

T14556233
Position Surface form Disambiguated ID Type / Status
Subject Rennes Metro E341548 entity
Predicate hasStation P35 FINISHED
Object Gares station
Gares station is a key Rennes Metro stop that serves as a major interchange point with Rennes’ main railway station.
 E1105986 NE FINISHED

How this triple was built (4 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: Gares station | Statement: [Rennes Metro, hasStation, Gares station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gares station
Context triple: [Rennes Metro, hasStation, Gares station]
  • A. Gare Centre
    Gare Centre is a central railway and tram station in Reims, France, serving as a key hub for regional and urban transportation.
  • B. Gare du Stade
    Gare du Stade is a local railway station serving the suburb of Colombes in the northwestern outskirts of Paris, France.
  • C. Gare de l'Est
    Gare de l'Est is one of Paris's major railway stations, serving eastern France and international destinations such as Germany and Luxembourg.
  • D. Gare de Sens
    Gare de Sens is the main railway station serving the town of Sens in north-central France, providing regional and intercity train connections.
  • E. Le Guichet station
    Le Guichet station is a commuter rail stop on the RER B line serving the town of Orsay in the southern suburbs of Paris, France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gares station
Triple: [Rennes Metro, hasStation, Gares station]
Generated description
Gares station is a key Rennes Metro stop that serves as a major interchange point with Rennes’ main railway station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gares station
Target entity description: Gares station is a key Rennes Metro stop that serves as a major interchange point with Rennes’ main railway station.
  • A. Gare Centre
    Gare Centre is a central railway and tram station in Reims, France, serving as a key hub for regional and urban transportation.
  • B. Gare du Stade
    Gare du Stade is a local railway station serving the suburb of Colombes in the northwestern outskirts of Paris, France.
  • C. Gare de l'Est
    Gare de l'Est is one of Paris's major railway stations, serving eastern France and international destinations such as Germany and Luxembourg.
  • D. Gare de Sens
    Gare de Sens is the main railway station serving the town of Sens in north-central France, providing regional and intercity train connections.
  • E. Le Guichet station
    Le Guichet station is a commuter rail stop on the RER B line serving the town of Orsay in the southern suburbs of Paris, France.
  • F. None of above. chosen

Provenance (5 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8bb3c1188190b158d30e9c962911 completed May 8, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd8c6e7d448190835f87e27c998623 completed May 8, 2026, 7:10 a.m.
Created at: April 10, 2026, 1:23 a.m.