Triple

T4069520
Position Surface form Disambiguated ID Type / Status
Subject Robbins Library E86610 entity
Predicate county P75 FINISHED
Object Middlesex County E141369 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: [Robbins Library, county, Middlesex County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesex County
Context triple: [Robbins Library, county, Middlesex County]
  • A. Middlesex County chosen
    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 eastern Massachusetts that includes major cities and suburbs of the Greater Boston area.
  • C. 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.
  • 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 an urban county in northeastern New Jersey known for encompassing the city of Newark and serving as a major residential, commercial, and transportation hub in the New York 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbfa45c88190b7b13b35de816378 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e581e94819086313b9d3a40b159 completed March 23, 2026, 4:46 p.m.
Created at: March 9, 2026, 3:38 p.m.