Triple

T27682547
Position Surface form Disambiguated ID Type / Status
Subject Lloydminster E697944 entity
Predicate censusDivisionAlberta P158881 FINISHED
Object Division No. 10
Division No. 10 is a census division in Alberta, Canada, that includes the border city of Lloydminster and surrounding rural areas.
 E1783701 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: Division No. 10 | Statement: [Lloydminster, censusDivisionAlberta, Division No. 10]
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: Division No. 10
Triple: [Lloydminster, censusDivisionAlberta, Division No. 10]
Generated description
Division No. 10 is a census division in Alberta, Canada, that includes the border city of Lloydminster and surrounding rural areas.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: censusDivisionAlberta
Context triple: [Lloydminster, censusDivisionAlberta, Division No. 10]
  • A. demographicCensusDivision chosen
    Indicates the census-defined demographic division or region with which an entity is associated.
  • B. hasCensusDivisionCode
    Indicates that an entity is associated with a specific census division identified by a particular code.
  • C. censusSubdivisionType
    Indicates the specific administrative or geographic category assigned to a census subdivision (e.g., city, town, rural area) within a census system.
  • D. hasCensusSubdivision
    Indicates that an entity (typically a larger administrative area) includes or is associated with a specific census-defined subdivision within it.
  • E. censusDivisionType
    Indicates the classification of a census division according to its official administrative or statistical type.
  • 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_69ef590df8708190af5488f0638e790c completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6357044208190887c948836f44aee completed May 2, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12daadb7e48190a6f75b1f7ea098ec completed May 24, 2026, 11:02 a.m.
NEDg Description generation batch_6a12db5e1bc881909f5c88262c8fea15 completed May 24, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a12dc453c5c819094d51c46c94b5905 completed May 24, 2026, 11:08 a.m.
PD Predicate disambiguation batch_69f62c1a92648190835a2c5250d8c758 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 2:47 p.m.