Triple

T1323981
Position Surface form Disambiguated ID Type / Status
Subject Mecosta, Michigan E28283 entity
Predicate locatedInCountySubdivision P26304 FINISHED
Object central Mecosta County, Michigan LITERAL 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: central Mecosta County, Michigan | Statement: [Mecosta, Michigan, locatedInCountySubdivision, central Mecosta County, Michigan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInCountySubdivision
Context triple: [Mecosta, Michigan, locatedInCountySubdivision, central Mecosta County, Michigan]
  • A. isInCountySubdivision chosen
    Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
  • B. locatedIn
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • C. isInCountySeatOf
    Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
  • D. partOfCountrySubdivision
    Indicates that one geographic or administrative unit is contained within and forms a component part of a larger country subdivision.
  • E. locatedAlong
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • F. None of above.

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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19caa148190a1f5be734b7d9005 completed March 1, 2026, 10:45 p.m.
PD Predicate disambiguation batch_69a4beedb49c8190beb5b85cdda05013 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:55 p.m.