Triple

T16410681
Position Surface form Disambiguated ID Type / Status
Subject Deering Library E398553 entity
Predicate city P40 FINISHED
Object Evanston E23140 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: Evanston | Statement: [Deering Library, city, Evanston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evanston
Context triple: [Deering Library, city, Evanston]
  • A. Evanston, Illinois chosen
    Evanston, Illinois is a suburban city directly north of Chicago, known for being the home of Northwestern University and its vibrant, diverse community along Lake Michigan.
  • B. Berwyn
    Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • C. Arlington Heights
    Arlington Heights is the elevated landform in Arlington, Virginia, that overlooks Washington, D.C. and serves as the site of Arlington National Cemetery and the former Arlington House estate.
  • D. Mundelein, Illinois
    Mundelein, Illinois is a suburban village in Lake County known for its residential communities, parks, and commuter access to the Chicago metropolitan area.
  • E. Rosemont, Illinois
    Rosemont, Illinois is a small village near Chicago known for its major convention centers, entertainment venues, and proximity to O'Hare International Airport.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328731a408190b38dcab0b7bb65ff completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9c8de4819093ae3901cf0c8805 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:09 a.m.