Triple

T28625550
Position Surface form Disambiguated ID Type / Status
Subject Kings—Hants E724510 entity
Predicate hasPredecessorRiding P198785 FINISHED
Object Colchester—Hants
Colchester—Hants was a former federal electoral district in Nova Scotia, Canada, represented in the House of Commons before being succeeded by the riding of Kings—Hants.
 E1825307 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: Colchester—Hants | Statement: [Kings—Hants, hasPredecessorRiding, Colchester—Hants]
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: Colchester—Hants
Triple: [Kings—Hants, hasPredecessorRiding, Colchester—Hants]
Generated description
Colchester—Hants was a former federal electoral district in Nova Scotia, Canada, represented in the House of Commons before being succeeded by the riding of Kings—Hants.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasPredecessorRiding
Context triple: [Kings—Hants, hasPredecessorRiding, Colchester—Hants]
  • A. predecessorRiding
    Indicates that one entity is riding or mounted on another entity that is its predecessor in some defined sequence or ordering.
  • B. hasRidingAssociation
    Indicates an association where one entity is related to another through the act or context of riding (e.g., serving as rider, mount, or riding partner).
  • C. hasPredecessorSeat
    Indicates that one seat directly precedes another seat in an ordered sequence or arrangement.
  • D. hasOwnerRider
    Indicates that an entity (such as an animal or vehicle) has a specific person who both owns it and rides or uses it.
  • E. isRiddenBy
    Indicates that an entity serves as a mount or vehicle that is being ridden by another entity.
  • 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_69f01d822ac08190932de59ec2268ed2 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69ff069ec1348190815375c5c9e38404 completed May 9, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb71357a88190b94bfcd500055293 completed May 31, 2026, 10:32 p.m.
NEDg Description generation batch_6a1cba6346dc8190a7e92e045ccb035c completed May 31, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_6a1cbae69fcc819089e092d9f9a0e0ba completed May 31, 2026, 10:49 p.m.
PD Predicate disambiguation batch_69ff05ba57f88190a45d20f18044e0fb completed May 9, 2026, 10 a.m.
PDg Predicate description generation batch_69ff069ddf948190bdfe438953249dd0 completed May 9, 2026, 10:04 a.m.
Created at: April 28, 2026, 4:35 a.m.