Triple

T894972
Position Surface form Disambiguated ID Type / Status
Subject Lake Macatawa E19323 entity
Predicate locatedNear P294 FINISHED
Object Holland, Michigan E945 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: Holland, Michigan | Statement: [Lake Macatawa, locatedNear, Holland, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holland, Michigan
Context triple: [Lake Macatawa, locatedNear, Holland, Michigan]
  • A. Holland, Michigan chosen
    Holland, Michigan is a city on the shores of Lake Michigan known for its strong Dutch heritage, annual Tulip Time Festival, and traditional Dutch architecture and culture.
  • B. Westland, Michigan
    Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
  • C. Muskegon, Michigan
    Muskegon, Michigan is a port city in western Michigan known for its Lake Michigan shoreline, maritime heritage, and recreational beaches.
  • D. Hudsonville, Michigan
    Hudsonville, Michigan is a small suburban city in western Michigan known for its family-friendly community and proximity to Grand Rapids.
  • E. Grand Haven, Michigan
    Grand Haven, Michigan is a Lake Michigan shoreline city known for its sandy beaches, historic lighthouse, and popular summer tourism along the eastern shore of the lake.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad22b6fc819093e655c8ce1f738b completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3ff724248190aacb72d105f0bb34 completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:39 p.m.