Triple

T1316783
Position Surface form Disambiguated ID Type / Status
Subject Ouest Department E28121 entity
Predicate containsCity P294 FINISHED
Object Kenscoff
Kenscoff is a mountainous town in Haiti known for its cool climate, agriculture, and proximity to the capital, Port-au-Prince.
 E150329 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: Kenscoff | Statement: [Ouest Department, containsCity, Kenscoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kenscoff
Context triple: [Ouest Department, containsCity, Kenscoff]
  • A. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • B. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • C. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • D. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • E. Kocher
    Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
  • 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: Kenscoff
Triple: [Ouest Department, containsCity, Kenscoff]
Generated description
Kenscoff is a mountainous town in Haiti known for its cool climate, agriculture, and proximity to the capital, Port-au-Prince.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kenscoff
Target entity description: Kenscoff is a mountainous town in Haiti known for its cool climate, agriculture, and proximity to the capital, Port-au-Prince.
  • A. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • B. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • C. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • D. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • E. Kocher
    Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c175079481909077cf11ed72d6fa completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbaf16a84819089c3473113ae70f9 completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbb89269081909f00aee480c94e9f completed March 7, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69acbc010cd0819080b1f8695dc0990b completed March 8, 2026, midnight
Created at: March 1, 2026, 7:55 p.m.