Triple

T5024050
Position Surface form Disambiguated ID Type / Status
Subject Manlius Township E112927 entity
Predicate hasName P744 FINISHED
Object Manlius Township E112927 NE FINISHED

How this triple was built (2 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: Manlius Township | Statement: [Manlius Township, hasName, Manlius Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manlius Township
Context triple: [Manlius Township, hasName, Manlius Township]
  • A. Manlius Township chosen
    Manlius Township is a civil township located within Allegan County in the U.S. state of Michigan.
  • B. Milton Township
    Milton Township is a civil township in DuPage County, Illinois, encompassing communities such as Wheaton and Glen Ellyn in the Chicago metropolitan area.
  • C. Warren Township
    Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
  • D. York Township
    York Township is a civil township in DuPage County, Illinois, encompassing several suburban communities west of Chicago.
  • E. Penfield Township
    Penfield Township is a small rural civil township located in Lorain County in northern Ohio, known for its agricultural character and low-density residential communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736852e88190b69d6561ca7604c3 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a8192848190aa2413b9517f18d8 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 1:36 p.m.