Triple

T11837242
Position Surface form Disambiguated ID Type / Status
Subject Margaret Douglas, Countess of Lennox E281548 entity
Predicate deathPlace P21 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: [Margaret Douglas, Countess of Lennox, deathPlace, Middlesex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesex
Context triple: [Margaret Douglas, Countess of Lennox, deathPlace, 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62fec0881908c7b89c0b5bcc9a2 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167766c048190b8aaf09732d338d8 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.