Triple

T6118915
Position Surface form Disambiguated ID Type / Status
Subject Taylor, Michigan E136431 entity
Predicate formerName P65 FINISHED
Object Taylor Township
Taylor Township was the former municipal designation for the area that later became the city of Taylor, Michigan.
 E598738 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: Taylor Township | Statement: [Taylor, Michigan, formerName, Taylor Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taylor Township
Context triple: [Taylor, Michigan, formerName, Taylor Township]
  • A. Scott Township
    Scott Township is a suburban municipality in Allegheny County, Pennsylvania, located just southwest of Pittsburgh.
  • B. James Township
    James Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • C. Martin Township
    Martin Township is a small civil township located within Allegan County in the U.S. state of Michigan.
  • D. Casey Township
    Casey Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • E. Warren Township
    Warren 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: Taylor Township
Triple: [Taylor, Michigan, formerName, Taylor Township]
Generated description
Taylor Township was the former municipal designation for the area that later became the city of Taylor, Michigan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taylor Township
Target entity description: Taylor Township was the former municipal designation for the area that later became the city of Taylor, Michigan.
  • A. Scott Township
    Scott Township is a suburban municipality in Allegheny County, Pennsylvania, located just southwest of Pittsburgh.
  • B. James Township
    James Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • C. Martin Township
    Martin Township is a small civil township located within Allegan County in the U.S. state of Michigan.
  • D. Casey Township
    Casey Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • E. Warren Township
    Warren 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bee12488190ab217e8956f2f1f3 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c68564f0bc81909a310ec2026caa7f completed March 27, 2026, 1:25 p.m.
NEDg Description generation batch_69c6994dafac819097586bd23aee35c4 completed March 27, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69c6ac08698c8190b8a0a9625492353b completed March 27, 2026, 4:10 p.m.
Created at: March 22, 2026, 4:14 p.m.