Triple

T15762810
Position Surface form Disambiguated ID Type / Status
Subject CTA Purple Line E382139 entity
Predicate servesSuburbs P15843 FINISHED
Object Wilmette 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: Wilmette | Statement: [CTA Purple Line, servesSuburbs, Wilmette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmette
Context triple: [CTA Purple Line, servesSuburbs, Wilmette]
  • A. Wilmette, Illinois chosen
    Wilmette, Illinois is a suburban village on the North Shore of the Chicago metropolitan area, known for its affluent residential character, lakefront location, and highly rated public schools.
  • B. Lake Forest
    Lake Forest is a suburban city in Orange County, California, known for its residential communities, parks, and proximity to major Southern California employment centers.
  • C. Berwyn
    Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • 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. West Allis
    West Allis is a suburban city in Milwaukee County, Wisconsin, known for its industrial roots and as the longtime home of the Wisconsin State Fair Park.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
Created at: April 10, 2026, 4:47 a.m.