Triple

T13752128
Position Surface form Disambiguated ID Type / Status
Subject Nutting Lake E330378 entity
Predicate region P40 FINISHED
Object Middlesex County unclear NED1 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: Middlesex County | Statement: [Nutting Lake, region, Middlesex County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesex County
Context triple: [Nutting Lake, region, Middlesex County]
  • A. Middlesex County
    Middlesex County is a regional municipality in southwestern Ontario, Canada, that encompasses the city of London and several surrounding communities.
  • B. Middlesex County
    Middlesex County is a populous county in central New Jersey known for its diverse suburban communities, major transportation hubs, and proximity to New York City.
  • C. Middlesex County
    Middlesex County is a populous county in eastern Massachusetts that includes major cities and suburbs of the Greater Boston area.
  • D. Essex County
    Essex County is a southwestern Ontario region bordering Lake Erie that includes the southernmost point of mainland Canada and encompasses Point Pelee National Park.
  • E. Essex County
    Essex County is a historic coastal county in northeastern Massachusetts that includes cities such as Lynn, Salem, and Lawrence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0215cfa08190aaed8b089aff217b completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8560614819085958205637f3863 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:09 p.m.