Triple

T8337275
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin Highway 23 E195819 entity
Predicate connectsCommunity P12608 FINISHED
Object Fond du Lac E321291 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: Fond du Lac | Statement: [Wisconsin Highway 23, connectsCommunity, Fond du Lac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fond du Lac
Context triple: [Wisconsin Highway 23, connectsCommunity, Fond du Lac]
  • A. Fond du Lac, Wisconsin chosen
    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.
  • B. Eau Claire
    Eau Claire is a central riverside neighborhood in Calgary, Alberta, known for its mixed-use developments, public plazas, and proximity to the Bow River and downtown core.
  • C. Odiongan
    Odiongan is a coastal municipality on Tablas Island in Romblon province, Philippines, serving as a local commercial and transportation hub in the region.
  • D. Portage Valley
    Portage Valley is a scenic glacial valley in Southcentral Alaska known for its dramatic mountain views, numerous glaciers, and outdoor recreation opportunities.
  • E. Muskego
    Muskego is a suburban city in Waukesha County, Wisconsin, known for its residential communities and numerous lakes and parks.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd5027c81909724f25aa30bbe58 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d941ca081909cc03949304c5052 completed April 2, 2026, 11:05 a.m.
Created at: March 30, 2026, 5:57 p.m.