Triple

T16310222
Position Surface form Disambiguated ID Type / Status
Subject Trillium Academy E396034 entity
Predicate servesRegion P82 FINISHED
Object Taylor, Michigan area E91891 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: Taylor, Michigan area | Statement: [Trillium Academy, servesRegion, Taylor, Michigan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor, Michigan area
Context triple: [Trillium Academy, servesRegion, Taylor, Michigan area]
  • A. Taylor, Michigan chosen
    Taylor, Michigan is a suburban city in Wayne County that forms part of the Downriver area of metropolitan Detroit.
  • B. Saugatuck, Michigan area
    The Saugatuck, Michigan area is a popular Lake Michigan lakeshore destination known for its scenic dunes, beaches, art galleries, and charming small-town atmosphere.
  • C. Troy, Michigan
    Troy, Michigan is a major suburban city in the Detroit metropolitan area known for its strong business community, shopping centers, and highly rated schools.
  • D. Westland, Michigan
    Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
  • E. Martin, Michigan
    Martin, Michigan is a small rural village located in Allegan County in the southwestern part of the state.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288da27f88190aa241e3addf9cd7f completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa517908190a29caa0156b1d1cd completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.