Triple

T4725820
Position Surface form Disambiguated ID Type / Status
Subject Sèvres E104880 entity
Predicate twinnedWith P1072 FINISHED
Object Mount Prospect E27102 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: Mount Prospect | Statement: [Sèvres, twinnedWith, Mount Prospect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Prospect
Context triple: [Sèvres, twinnedWith, Mount Prospect]
  • A. Mount Prospect, Illinois chosen
    Mount Prospect, Illinois is a suburban village northwest of Chicago known for its residential neighborhoods, local parks, and proximity to major transportation routes.
  • B. Glenbrook
    Glenbrook is a historic community located near Glenbrook Creek, known for its heritage significance and scenic surroundings.
  • C. Berwyn
    Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • D. 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.
  • E. Nashoba Valley
    Nashoba Valley is a region in north-central Massachusetts known for its rolling hills, outdoor recreation areas, and small New England towns.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6446b42081908e023979c9685730 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43a86b288190ada883c345b00c72 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:18 p.m.