Triple

T677805
Position Surface form Disambiguated ID Type / Status
Subject South Manitou Island E13115 entity
Predicate accessibleFrom P1985 FINISHED
Object Leland, Michigan E107656 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: Leland, Michigan | Statement: [South Manitou Island, accessibleFrom, Leland, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leland, Michigan
Context triple: [South Manitou Island, accessibleFrom, Leland, Michigan]
  • A. Leland, Michigan chosen
    Leland, Michigan is a small historic village on the shores of Lake Michigan known for its picturesque harbor and preserved fishing district called Fishtown.
  • 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. Mount Pleasant, Michigan
    Mount Pleasant, Michigan is a small central Michigan city best known as the home of Central Michigan University and the Saginaw Chippewa Indian Tribe.
  • D. Taylor, Michigan
    Taylor, Michigan is a suburban city in Wayne County that forms part of the Downriver area of metropolitan Detroit.
  • E. Warren, Michigan
    Warren, Michigan is a large suburban city in Macomb County and a major industrial and automotive manufacturing center in the Detroit metropolitan area.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04c89148190b6330e86697bb37b completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6600fa4c8190be934f49ba4b75ca completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:36 p.m.