Triple

T6072046
Position Surface form Disambiguated ID Type / Status
Subject Timiskaming District E135304 entity
Predicate hasSettlement P1068 FINISHED
Object Gilliand Township
Gilliand Township is a geographic township and sparsely populated rural area located within the Timiskaming District in northeastern Ontario, Canada.
E598163 NE FINISHED

How this triple was built (4 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: Gilliand Township | Statement: [Timiskaming District, hasSettlement, Gilliand Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilliand Township
Context triple: [Timiskaming District, hasSettlement, Gilliand Township]
  • A. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • B. Wilkins Township
    Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
  • C. Dymond Township
    Dymond Township was a former municipality in northeastern Ontario, Canada, that later became part of the city of Temiskaming Shores.
  • D. Ganges Township
    Ganges Township is a rural civil township in Allegan County, Michigan, known for its agricultural landscape and proximity to the Lake Michigan shoreline.
  • E. Dorr Township
    Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Gilliand Township
Triple: [Timiskaming District, hasSettlement, Gilliand Township]
Generated description
Gilliand Township is a geographic township and sparsely populated rural area located within the Timiskaming District in northeastern Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gilliand Township
Target entity description: Gilliand Township is a geographic township and sparsely populated rural area located within the Timiskaming District in northeastern Ontario, Canada.
  • A. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • B. Wilkins Township
    Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
  • C. Dymond Township
    Dymond Township was a former municipality in northeastern Ontario, Canada, that later became part of the city of Temiskaming Shores.
  • D. Ganges Township
    Ganges Township is a rural civil township in Allegan County, Michigan, known for its agricultural landscape and proximity to the Lake Michigan shoreline.
  • E. Dorr Township
    Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
  • F. None of above. chosen

Provenance (5 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05759d29481908912015e734ab943 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669d473388190a6e998956dd48e7a completed March 27, 2026, 11:28 a.m.
NEDg Description generation batch_69c66a81aed88190aec406e089e7ae67 completed March 27, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_69c66af35810819093fe01cde3426bc9 completed March 27, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:11 p.m.