Triple

T11396682
Position Surface form Disambiguated ID Type / Status
Subject Margery Latimer E269992 entity
Predicate placeOfDeath P21 FINISHED
Object Milwaukee, Wisconsin E10031 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: Milwaukee, Wisconsin | Statement: [Margery Latimer, placeOfDeath, Milwaukee, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milwaukee, Wisconsin
Context triple: [Margery Latimer, placeOfDeath, Milwaukee, Wisconsin]
  • 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. Waukesha, Wisconsin
    Waukesha, Wisconsin is a suburban city west of Milwaukee known for its historic downtown, former mineral springs resorts, and location along the Fox River.
  • C. Kenosha
    Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
  • D. Fond du Lac, Wisconsin
    Fond du Lac, Wisconsin is a small city in east-central Wisconsin known as a regional commercial center at the southern tip of Lake Winnebago.
  • E. Milwaukie
    Milwaukie is a small city in northwestern Oregon, located just south of Portland along the Willamette River.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8250c288190b5bff70f7445b815 completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.