Triple

T24106639
Position Surface form Disambiguated ID Type / Status
Subject Vermont–Quebec border E597243 entity
Predicate hasBorderTownOnCanadianSide P155088 FINISHED
Object Stanstead, Quebec
Stanstead, Quebec is a small Canadian town in the Eastern Townships known for straddling the U.S.–Canada border opposite Vermont and featuring shared cross-border institutions and architecture.
 E1620223 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: Stanstead, Quebec | Statement: [Vermont–Quebec border, hasBorderTownOnCanadianSide, Stanstead, Quebec]
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: Stanstead, Quebec
Triple: [Vermont–Quebec border, hasBorderTownOnCanadianSide, Stanstead, Quebec]
Generated description
Stanstead, Quebec is a small Canadian town in the Eastern Townships known for straddling the U.S.–Canada border opposite Vermont and featuring shared cross-border institutions and architecture.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasBorderTownOnCanadianSide
Context triple: [Vermont–Quebec border, hasBorderTownOnCanadianSide, Stanstead, Quebec]
  • 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. hasBorderLengthWithCanada_km
    Indicates the length, in kilometers, of the land or maritime border that an entity shares with Canada.
  • D. hasBorderTownRole
    Indicates that an entity serves in an official capacity or role specifically related to a town located on or near a border.
  • E. borderCityOnUSSide
    Indicates that a city is located on the U.S. side of an international border shared with another country.
  • F. None of above. chosen

Provenance (7 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_69e288c60f9c8190af948d7354aedbeb completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1de170ee88190a6d57482651f7da9 completed April 29, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad14f8b08190969ce3eb65092366 completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fadf24a1c8190bf530988ba1b86de completed May 22, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0faeb55b6c8190944d1bd621b3f819 completed May 22, 2026, 1:17 a.m.
PD Predicate disambiguation batch_69f17651458c8190bbfd301883e46085 completed April 29, 2026, 3:09 a.m.
PDg Predicate description generation batch_69f17b58012c81909106b332db399023 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 11:01 p.m.