Triple

T2475235
Position Surface form Disambiguated ID Type / Status
Subject Compagnie des chemins de fer de l'Ouest E55072 entity
Predicate shortName P43 FINISHED
Object Ouest
Ouest was the commonly used short name for the Compagnie des chemins de fer de l'Ouest, a major 19th-century French railway company serving the western regions of France.
 E270373 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: Ouest | Statement: [Compagnie des chemins de fer de l'Ouest, shortName, Ouest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ouest
Context triple: [Compagnie des chemins de fer de l'Ouest, shortName, Ouest]
  • A. Sud-Ouest
    Sud-Ouest is a borough of Montreal known for its historic industrial canals, revitalized waterfronts, and diverse residential neighborhoods.
  • B. Noord
    Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
  • C. Oea
    Oea was an important ancient city in North Africa, located on the site of modern-day Tripoli in present-day Libya.
  • D. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • E. Easty
    Easty is the surname of Mary Easty, one of the women executed during the Salem witch trials in 1692.
  • 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: Ouest
Triple: [Compagnie des chemins de fer de l'Ouest, shortName, Ouest]
Generated description
Ouest was the commonly used short name for the Compagnie des chemins de fer de l'Ouest, a major 19th-century French railway company serving the western regions of France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ouest
Target entity description: Ouest was the commonly used short name for the Compagnie des chemins de fer de l'Ouest, a major 19th-century French railway company serving the western regions of France.
  • A. Sud-Ouest
    Sud-Ouest is a borough of Montreal known for its historic industrial canals, revitalized waterfronts, and diverse residential neighborhoods.
  • B. Noord
    Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
  • C. Oea
    Oea was an important ancient city in North Africa, located on the site of modern-day Tripoli in present-day Libya.
  • D. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • E. Easty
    Easty is the surname of Mary Easty, one of the women executed during the Salem witch trials in 1692.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd14c8c388190bbdc486ffed6899e completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17ab837881909bf8704acf9598e4 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1a8c7784819088be431513d60325 completed March 9, 2026, 7:07 p.m.
NED2 Entity disambiguation (via description) batch_69af1b10738881909b296ecd3ff53c1b completed March 9, 2026, 7:10 p.m.
Created at: March 6, 2026, 9:45 p.m.