Triple

T15152206
Position Surface form Disambiguated ID Type / Status
Subject St. Louis Park E361971 entity
Predicate adjacentTo P224 FINISHED
Object Edina E353222 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: Edina | Statement: [St. Louis Park, adjacentTo, Edina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edina
Context triple: [St. Louis Park, adjacentTo, Edina]
  • A. Edina chosen
    Edina is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its affluent neighborhoods, strong school system, and major shopping centers like Southdale Center.
  • B. Berwyn
    Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • C. Nicoma Park
    Nicoma Park is a small city in central Oklahoma known as a residential community within the Oklahoma City metropolitan area.
  • D. Schaumburg
    Schaumburg is a historic German county and region that once formed part of the territorial holdings of various German princes and states.
  • E. Haslett
    Haslett is a suburban community in Michigan known for its residential neighborhoods and proximity to East Lansing and Michigan State University.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00609040081908c849475a2fa6443 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff44ef081908db5826c2626df06 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.