Triple

T6072042
Position Surface form Disambiguated ID Type / Status
Subject Timiskaming District E135304 entity
Predicate hasSettlement P1068 FINISHED
Object Marter Township
Marter Township is a small rural community located within Ontario's Timiskaming District in Canada.
E596842 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: Marter Township | Statement: [Timiskaming District, hasSettlement, Marter Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marter Township
Context triple: [Timiskaming District, hasSettlement, Marter Township]
  • A. Martin Township
    Martin Township is a small civil township located within Allegan County in the U.S. state of Michigan.
  • B. Wilkins Township
    Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
  • C. Fillmore Township
    Fillmore Township is a civil township located within Allegan County in the U.S. state of Michigan.
  • D. James Township
    James Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • E. Malcom Township
    Malcom Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
  • 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: Marter Township
Triple: [Timiskaming District, hasSettlement, Marter Township]
Generated description
Marter Township is a small rural community located within Ontario's Timiskaming District in Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marter Township
Target entity description: Marter Township is a small rural community located within Ontario's Timiskaming District in Canada.
  • A. Martin Township
    Martin Township is a small civil township located within Allegan County in the U.S. state of Michigan.
  • B. Wilkins Township
    Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
  • C. Fillmore Township
    Fillmore Township is a civil township located within Allegan County in the U.S. state of Michigan.
  • D. James Township
    James Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • E. Malcom Township
    Malcom Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
  • 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_69c6537678fc8190aa0f2f198c1d8385 completed March 27, 2026, 9:52 a.m.
NEDg Description generation batch_69c65772d5f88190837a7b0ac5884f3a completed March 27, 2026, 10:09 a.m.
NED2 Entity disambiguation (via description) batch_69c65886ec388190bb48ac7b36578709 completed March 27, 2026, 10:14 a.m.
Created at: March 22, 2026, 4:11 p.m.