Triple

T21996575
Position Surface form Disambiguated ID Type / Status
Subject Ash Township, Michigan E543219 entity
Predicate roadAccess P385 FINISHED
Object M-125 NE NERFINISHED

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: M-125 | Statement: [Ash Township, Michigan, roadAccess, M-125]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-125
Context triple: [Ash Township, Michigan, roadAccess, M-125]
  • A. M-125 chosen
    M-125 is a state highway route that serves as a primary roadway connection for the Monroe area.
  • B. M-121
    M-121 is a state trunkline highway in western Michigan that serves as a regional connector between communities southwest of Grand Rapids.
  • C. M-115
    M-115 is a state trunkline highway in Michigan that serves as a regional connector route through the central and northwestern parts of the Lower Peninsula.
  • D. M-102
    M-102 is a regional road in the Community of Madrid, Spain, that provides access to and from the town of Torrelaguna.
  • E. M-102
    M-102 is a state trunkline highway in Michigan best known as Detroit’s Eight Mile Road, a major east–west thoroughfare that serves as a cultural and socioeconomic dividing line in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12765fb0c81908f7b7acda065ee2f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.