Triple

T34873560
Position Surface form Disambiguated ID Type / Status
Subject Toronto–Windsor E1005817 entity
Predicate connectsToBorderCity P145819 FINISHED
Object Windsor
Windsor is a Canadian city in southwestern Ontario located directly across the border from Detroit, Michigan, serving as a major international crossing point between Canada and the United States.
 E313570 NE FINISHED

How this triple was built (3 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: Windsor | Statement: [Toronto–Windsor, connectsToBorderCity, Windsor]
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: Windsor
Triple: [Toronto–Windsor, connectsToBorderCity, Windsor]
Generated description
Windsor is a Canadian city in southwestern Ontario located directly across the border from Detroit, Michigan, serving as a major international crossing point between Canada and the United States.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: connectsToBorderCity
Context triple: [Toronto–Windsor, connectsToBorderCity, Windsor]
  • A. hasBorderCity
    Indicates that one location is a city situated on or very near the border of another geographic or political region.
  • B. cityIsBorderCity
    Indicates that a city is located on or near a boundary between two regions, countries, or administrative areas.
  • C. connectsToCountryBorder
    Indicates that one entity is directly adjacent to and touches the border of a specified country.
  • D. connectsBorderCities chosen
    Indicates a relationship where a route, infrastructure, or boundary directly links two or more cities that lie on or near a shared border.
  • E. isBorderTownBetween
    Indicates that a town is located on or near the boundary separating two specified regions, serving as a border settlement between them.
  • F. None of above.

Provenance (6 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_69f76dbde1c08190a24e7f9beb564c8d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff70ecc1a481909571b18d56d982b8 completed May 9, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37a8a604248190b922bd873233fc3c completed June 21, 2026, 9:02 a.m.
NEDg Description generation batch_6a37a976d678819085e155f8799a1673 completed June 21, 2026, 9:05 a.m.
NED2 Entity disambiguation (via description) batch_6a37aa2e2c3881909f630c9e769c4943 completed June 21, 2026, 9:09 a.m.
PD Predicate disambiguation batch_69ff70322a3c8190837840ea42cd3093 completed May 9, 2026, 5:34 p.m.
Created at: May 3, 2026, 4 p.m.