Triple

T15619157
Position Surface form Disambiguated ID Type / Status
Subject Pere Marquette Lake E375500 entity
Predicate hasShorelineIn P1896 FINISHED
Object Ludington NE NERFINISHED

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: Ludington | Statement: [Pere Marquette Lake, hasShorelineIn, Ludington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludington
Context triple: [Pere Marquette Lake, hasShorelineIn, Ludington]
  • A. Ludington, Michigan chosen
    Ludington, Michigan is a small Lake Michigan port city in western Michigan known for its beaches, state park, and outdoor recreation centered around its waterfront and nearby rivers.
  • B. Harbor Springs
    Harbor Springs is a small resort town on the shores of Lake Michigan known for its scenic harbor, historic charm, and year-round outdoor recreation.
  • C. Ludington, Wisconsin
    Ludington, Wisconsin is a small unincorporated community located within Eau Claire County in the state of Wisconsin.
  • D. Alpena
    Alpena is a small city in northeastern Michigan known for its Lake Huron shoreline, maritime history, and access to outdoor recreation.
  • E. Fairport, Michigan
    Fairport, Michigan is a small unincorporated lakeside community located at the southern tip of Michigan’s Garden Peninsula on Lake Michigan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:13 a.m.