Triple

T25594305
Position Surface form Disambiguated ID Type / Status
Subject Kitchener Centre E641604 entity
Predicate hasNeighbouringRiding P170606 FINISHED
Object Kitchener South—Hespeler
Kitchener South—Hespeler is a federal electoral district in Ontario, Canada, representing parts of the city of Kitchener and the community of Hespeler in Cambridge.
 E1687503 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: Kitchener South—Hespeler | Statement: [Kitchener Centre, hasNeighbouringRiding, Kitchener South—Hespeler]
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: Kitchener South—Hespeler
Triple: [Kitchener Centre, hasNeighbouringRiding, Kitchener South—Hespeler]
Generated description
Kitchener South—Hespeler is a federal electoral district in Ontario, Canada, representing parts of the city of Kitchener and the community of Hespeler in Cambridge.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNeighbouringRiding
Context triple: [Kitchener Centre, hasNeighbouringRiding, Kitchener South—Hespeler]
  • A. hasNeighbouringWard
    Indicates that one ward is directly adjacent to or borders another ward geographically.
  • B. hasNeighbouringDivision
    Indicates that one division is directly adjacent to and shares a boundary with another division.
  • C. hasNeighborCensusDivision
    Indicates that one census division is geographically adjacent to another census division.
  • D. hasNeighboringLGA
    Indicates that one local government area is geographically adjacent to or directly borders another local government area.
  • E. hasNeighbouringLocality
    Indicates that one locality is geographically adjacent to or directly borders another locality.
  • 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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f693ffa7908190aa4c451b16df9be6 completed May 3, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10b76c54c08190b2b29976cd6bb56d completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b7fb30488190bae3d9982ac4d115 completed May 22, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9606818819094491a74c5922378 completed May 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69f690eb1e948190aab41a89969519a5 completed May 3, 2026, 12:03 a.m.
PDg Predicate description generation batch_69f6938244648190a553b532387b812c completed May 3, 2026, 12:14 a.m.
Created at: April 21, 2026, 4:26 p.m.