Triple

T14484717
Position Surface form Disambiguated ID Type / Status
Subject Madison E359196 entity
Predicate hasLake P1025 FINISHED
Object Lake Monona E78082 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: Lake Monona | Statement: [Madison, hasLake, Lake Monona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Monona
Context triple: [Madison, hasLake, Lake Monona]
  • A. Lake Monona chosen
    Lake Monona is a prominent freshwater lake in Madison, Wisconsin, known for its recreational activities, scenic shoreline, and views of the city’s skyline and state capitol.
  • B. Lake Waubesa
    Lake Waubesa is a freshwater lake in south-central Wisconsin that forms part of the Yahara River chain and serves as a popular site for recreation and wildlife habitat near Madison.
  • C. Green Lake
    Green Lake is a Seattle neighborhood centered around a popular freshwater lake and park known for its walking and biking trails, recreation facilities, and scenic urban green space.
  • D. Green Lake
    Green Lake is a scenic glacial lake near Whistler, British Columbia, known for its striking turquoise water and surrounding mountain views.
  • E. Green Lake
    Green Lake is a freshwater lake in northwestern Michigan known for its clear waters, recreational activities, and proximity to the arts-focused community of Interlochen.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924d7f4c8190b1f62b5ffe1ff649 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d196d88190a8fa54468b2de1bb completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 1:20 a.m.