Triple

T6845951
Position Surface form Disambiguated ID Type / Status
Subject Croix-des-Bouquets E157893 entity
Predicate region P40 FINISHED
Object Ouest
Ouest is a key administrative department of Haiti that includes the capital city, Port-au-Prince, and serves as the country’s political and economic center.
 E623058 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: [Croix-des-Bouquets, region, Ouest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ouest
Context triple: [Croix-des-Bouquets, region, Ouest]
  • A. 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.
  • B. Sud-Ouest
    Sud-Ouest is a borough of Montreal known for its historic industrial canals, revitalized waterfronts, and diverse residential neighborhoods.
  • C. Norra
    Norra is a Finnish regional airline that operates domestic and short-haul international flights, primarily on behalf of Finnair.
  • D. 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.
  • E. Noord
    Noord is a residential neighborhood located in the Dutch city of Tilburg.
  • 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: [Croix-des-Bouquets, region, Ouest]
Generated description
Ouest is a key administrative department of Haiti that includes the capital city, Port-au-Prince, and serves as the country’s political and economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ouest
Target entity description: Ouest is a key administrative department of Haiti that includes the capital city, Port-au-Prince, and serves as the country’s political and economic center.
  • A. 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.
  • B. Sud-Ouest
    Sud-Ouest is a borough of Montreal known for its historic industrial canals, revitalized waterfronts, and diverse residential neighborhoods.
  • C. Norra
    Norra is a Finnish regional airline that operates domestic and short-haul international flights, primarily on behalf of Finnair.
  • D. 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.
  • E. Noord
    Noord is a residential neighborhood located in the Dutch city of Tilburg.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7cbe4488190b41ddf953f12f55f completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fc42e688190baa8413883e5506c completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c7304c0bac8190a9ece4e50ab49586 completed March 28, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c7310fa9bc8190bfb0a43890dc5e96 completed March 28, 2026, 1:38 a.m.
Created at: March 27, 2026, 2:20 p.m.