Triple

T7848140
Position Surface form Disambiguated ID Type / Status
Subject Waukesha County, Wisconsin E181970 entity
Predicate hasVillage P4011 FINISHED
Object Hartland, Wisconsin E698638 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: Hartland, Wisconsin | Statement: [Waukesha County, Wisconsin, hasVillage, Hartland, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartland, Wisconsin
Context triple: [Waukesha County, Wisconsin, hasVillage, Hartland, Wisconsin]
  • A. Hartland
    Hartland is a small rural town in northwestern Connecticut known for its forests, reservoirs, and low population density.
  • B. Hartland chosen
    Hartland is a suburban village in Waukesha County, Wisconsin, known for its residential communities and proximity to the Milwaukee metropolitan area.
  • C. Hartland
    Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
  • D. Bayfield, Wisconsin
    Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
  • E. Neenah, Wisconsin
    Neenah, Wisconsin is a small industrial city in Winnebago County known for its paper manufacturing heritage and location along the shores of Lake Winnebago and the Fox 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e7f5988190808ae4dcfbc06991 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf1834b08190ab9fd79387e496a7 completed March 31, 2026, 2:50 p.m.
Created at: March 30, 2026, 4:49 p.m.