Triple

T7566148
Position Surface form Disambiguated ID Type / Status
Subject The Green School for Boys E178916 entity
Predicate locatedIn P40 FINISHED
Object Middlesex E14852 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 | Statement: [The Green School for Boys, locatedIn, Middlesex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesex
Context triple: [The Green School for Boys, locatedIn, Middlesex]
  • A. Middlesex
    Middlesex is a small town located in Yates County in the Finger Lakes region of New York State.
  • B. Middlesex
    Middlesex is a census division in southwestern Ontario, Canada, that includes the city of London and surrounding rural municipalities.
  • C. County of Middlesex
    The County of Middlesex is a historic county in southeast England that once encompassed much of what is now Greater London and surrounding areas.
  • D. Middlesex, England chosen
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • E. Middlesex Parish
    Middlesex Parish was the former ecclesiastical parish name for the area that later became the town of Darien, Connecticut.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fde87c81909795fc713d7378ff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856dc5ea881908c2e0075f9631af4 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.