Triple

T3686283
Position Surface form Disambiguated ID Type / Status
Subject Lake Waubesa E78232 entity
Predicate connectedTo P37 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: [Lake Waubesa, connectedTo, Lake Monona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Monona
Context triple: [Lake Waubesa, connectedTo, 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. White Lake
    White Lake is a small resort town and natural freshwater lake in southeastern North Carolina known for its clear, spring-fed waters and recreational tourism.
  • D. White Lake
    White Lake is a freshwater lake in western Michigan known for its recreational opportunities and proximity to the Lake Michigan shoreline.
  • E. Lake Winnebago
    Lake Winnebago is a large freshwater lake in east-central Wisconsin, known for its recreational fishing, boating, and role as a key feature of the Fox River–Lake Winnebago watershed.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c676748190b074abfb9ba43b49 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eea9112c8190b0f0040afbf916ce completed March 28, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:26 p.m.