Triple

T20495
Position Surface form Disambiguated ID Type / Status
Subject Lake Michigan E406 entity
Predicate cityOnShore P969 FINISHED
Object Milwaukee E10031 NE FINISHED

How this triple was built (3 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: Milwaukee | Statement: [Lake Michigan, cityOnShore, Milwaukee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milwaukee
Context triple: [Lake Michigan, cityOnShore, Milwaukee]
  • A. Milwaukee chosen
    Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
  • B. Delano
    Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
  • C. Muskegon, Michigan
    Muskegon, Michigan is a port city in western Michigan known for its Lake Michigan shoreline, maritime heritage, and recreational beaches.
  • D. Detroit
    Detroit is a major U.S. city in Michigan known historically as the center of the American automotive industry and for its influential contributions to music, particularly Motown.
  • E. Marquette
    Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityOnShore
Context triple: [Lake Michigan, cityOnShore, Milwaukee]
  • A. hasCityOnShore chosen
    Indicates that a city is located on or directly adjacent to the shore of a body of water.
  • B. isPortCityOn
    Indicates that a city functions as a port located on the specified body of water.
  • C. cityAtMouth
    Indicates that a city is located at or very near the mouth (outlet) of a river.
  • D. hasCoastlineOn
    Indicates that one entity’s coastline borders or is directly adjacent to a specified body of water.
  • E. coastType
    Indicates the specific kind or classification of a coastline associated with a geographic area.
  • F. None of above.

Provenance (4 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a246f7bd30819085f751c41f6f029e completed Feb. 28, 2026, 1:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275dd42388190b9088b2f1b16e5e4 completed Feb. 28, 2026, 4:58 a.m.
PD Predicate disambiguation batch_69a246526f5881909bc2a46e978bd082 completed Feb. 28, 2026, 1:35 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.