Triple

T18809428
Position Surface form Disambiguated ID Type / Status
Subject Benzonia, Michigan E459967 entity
Predicate hasName P744 FINISHED
Object Benzonia 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: Benzonia | Statement: [Benzonia, Michigan, hasName, Benzonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benzonia
Context triple: [Benzonia, Michigan, hasName, Benzonia]
  • A. Benzonia, Michigan chosen
    Benzonia, Michigan is a small village in northwestern Michigan known as a historic community near Crystal Lake and part of the scenic Benzie County region.
  • B. Bainsville
    Bainsville is a small rural community located in eastern Ontario, Canada, near the Quebec border and along the St. Lawrence River.
  • C. Baysville
    Baysville is a small rural community in Ontario, Canada, known for its scenic lakeside setting and role as a cottage-country destination within the Muskoka region.
  • D. Boyne City
    Boyne City is a small lakeside community in northern Michigan known for its recreational access to Lake Charlevoix and nearby ski resorts.
  • E. Barberton
    Barberton is a historic mining town in South Africa’s Mpumalanga province, known for its gold rush heritage and proximity to some of the world’s oldest exposed rocks.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3db38ec8190ab5bef15bc6789be completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.