Triple

T16445698
Position Surface form Disambiguated ID Type / Status
Subject Caussade E399417 entity
Predicate hasRailwayStation P918 FINISHED
Object Caussade station
Caussade station is a regional railway station in the town of Caussade in southern France, serving local and regional train services.
 E1238004 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: Caussade station | Statement: [Caussade, hasRailwayStation, Caussade station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caussade station
Context triple: [Caussade, hasRailwayStation, Caussade station]
  • A. Saint-Just station
    Saint-Just station is a terminal stop on Lyon’s historic funicular network, serving the Saint-Just neighborhood in the city’s Fourvière area.
  • B. Malesherbes station
    Malesherbes station is a railway station in France serving the town of Malesherbes and connecting it to the regional rail network.
  • C. Malesherbes station
    Malesherbes station is a Paris Métro station serving the 8th and 17th arrondissements of Paris on Line 3.
  • D. Fabre station
    Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
  • E. Vendôme station
    Vendôme station is a major public transit hub in Montreal that connects the metro, commuter rail, and bus services for the Côte-des-Neiges–Notre-Dame-de-Grâce area.
  • 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: Caussade station
Triple: [Caussade, hasRailwayStation, Caussade station]
Generated description
Caussade station is a regional railway station in the town of Caussade in southern France, serving local and regional train services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caussade station
Target entity description: Caussade station is a regional railway station in the town of Caussade in southern France, serving local and regional train services.
  • A. Saint-Just station
    Saint-Just station is a terminal stop on Lyon’s historic funicular network, serving the Saint-Just neighborhood in the city’s Fourvière area.
  • B. Malesherbes station
    Malesherbes station is a Paris Métro station serving the 8th and 17th arrondissements of Paris on Line 3.
  • C. Malesherbes station
    Malesherbes station is a railway station in France serving the town of Malesherbes and connecting it to the regional rail network.
  • D. Fabre station
    Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
  • E. Vendôme station
    Vendôme station is a major public transit hub in Montreal that connects the metro, commuter rail, and bus services for the Côte-des-Neiges–Notre-Dame-de-Grâce area.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdb5d908190bb6c5cb3c794cf4b completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c291e2008190b41a989c5c6e2860 completed May 10, 2026, 5:38 p.m.
NEDg Description generation batch_6a00c332051c8190b086a6e29b8d9c61 completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c434d8f88190a71c1c4c8e475e33 completed May 10, 2026, 5:45 p.m.
Created at: April 10, 2026, 5:10 a.m.