Triple

T1780484
Position Surface form Disambiguated ID Type / Status
Subject Karl Menger E39278 entity
Predicate placeOfDeath P21 FINISHED
Object Highland Park, Illinois E134465 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: Highland Park, Illinois | Statement: [Karl Menger, placeOfDeath, Highland Park, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highland Park, Illinois
Context triple: [Karl Menger, placeOfDeath, Highland Park, Illinois]
  • A. Highland Park, Illinois chosen
    Highland Park, Illinois is an affluent suburban city on Chicago’s North Shore known for its historic homes, lakefront parks, and cultural attractions.
  • B. Highland Park
    Highland Park is a residential neighborhood located within Upper Darby Township in Delaware County, Pennsylvania.
  • C. Highland Park
    Highland Park is an affluent, independently governed town that forms an upscale enclave within the Dallas metropolitan area in Texas.
  • D. Highland Park
    Highland Park is a historic, Frederick Law Olmsted–designed public park in Rochester, New York, renowned for its extensive arboretum and annual Lilac Festival.
  • E. Palos Park, Illinois
    Palos Park, Illinois is a small, affluent suburban village southwest of Chicago known for its forest preserves, scenic natural areas, and residential character.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e22d6881909ba6ec120b320918 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ed8b7a08190a39f4b90fbf68cd9 completed March 9, 2026, 8:03 a.m.
Created at: March 4, 2026, 7:31 p.m.