Triple

T35643337
Position Surface form Disambiguated ID Type / Status
Subject Lodi Township E1029933 entity
Predicate isWithinMetropolitanStatisticalArea P114292 FINISHED
Object Ann Arbor, Michigan MSA 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: Ann Arbor, Michigan MSA | Statement: [Lodi Township, isWithinMetropolitanStatisticalArea, Ann Arbor, Michigan MSA]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isWithinMetropolitanStatisticalArea
Context triple: [Lodi Township, isWithinMetropolitanStatisticalArea, Ann Arbor, Michigan MSA]
  • A. isWithinMetroArea chosen
    Indicates that one location lies inside the geographic boundaries of a specified metropolitan area.
  • B. metropolitanStatisticalArea
    Indicates that one place is part of, or classified within, a specific metropolitan statistical area as defined for demographic or economic analysis.
  • C. isPartOfMicropolitanArea
    Indicates that an entity belongs to or is included within a designated micropolitan area.
  • D. hasMicropolitanArea
    Indicates that an entity possesses or is associated with a designated micropolitan area, typically a smaller-scale urban region centered around a core city or town.
  • E. hasMetropolitanCounty
    Indicates that an entity is associated with, located within, or administered by a specific metropolitan county.
  • 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_69f76e087bdc8190a4794bf9c0bd7634 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a34f8ee08190a040304635539a8f completed May 3, 2026, 7:34 p.m.
PD Predicate disambiguation batch_69f7a06f125c8190843af194f042a465 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:05 p.m.