Triple

T855346
Position Surface form Disambiguated ID Type / Status
Subject Benedictine University E18479 entity
Predicate city P40 FINISHED
Object Lisle E44034 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: Lisle | Statement: [Benedictine University, city, Lisle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisle
Context triple: [Benedictine University, city, Lisle]
  • A. Lisle, Illinois chosen
    Lisle, Illinois is a suburban village in the Chicago metropolitan area known for its residential communities, corporate offices, and the Morton Arboretum.
  • B. Nashoba Valley
    Nashoba Valley is a region in north-central Massachusetts known for its rolling hills, outdoor recreation areas, and small New England towns.
  • 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. Hinsdale
    Hinsdale is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
  • E. Glenbrook
    Glenbrook is a historic community located near Glenbrook Creek, known for its heritage significance and scenic surroundings.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3a48c08190b4677d825fcbfaf9 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae26c4077081908dbf36ed274afa58 completed March 9, 2026, 1:47 a.m.
Created at: March 1, 2026, 7:39 p.m.