Triple

T20044472
Position Surface form Disambiguated ID Type / Status
Subject Oval Beach E497519 entity
Predicate near P350 FINISHED
Object downtown Saugatuck 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: downtown Saugatuck | Statement: [Oval Beach, near, downtown Saugatuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Saugatuck
Context triple: [Oval Beach, near, downtown Saugatuck]
  • A. Saugatuck, Michigan area
    The Saugatuck, Michigan area is a popular Lake Michigan lakeshore destination known for its scenic dunes, beaches, art galleries, and charming small-town atmosphere.
  • B. Saugatuck chosen
    Saugatuck is a small lakeside city in western Michigan known for its art galleries, beaches, and tourist-friendly waterfront.
  • C. Muskegon arts and cultural district
    The Muskegon arts and cultural district is a downtown area in Muskegon, Michigan, known for its concentration of theaters, museums, galleries, and cultural venues.
  • D. Downtown Detroit
    Downtown Detroit is the central business district and cultural core of Detroit, Michigan, known for its skyscrapers, sports arenas, theaters, and revitalized riverfront.
  • E. South Haven, Michigan
    South Haven, Michigan is a Lake Michigan resort town known for its sandy beaches, maritime history, and popular summer tourism in West 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eea09481908d1001165e9d719c completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.