Triple

T15409490
Position Surface form Disambiguated ID Type / Status
Subject Essex, Vermont E368545 entity
Predicate isNamedAfter P63 FINISHED
Object Essex, England E30848 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: Essex, England | Statement: [Essex, Vermont, isNamedAfter, Essex, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Essex, England
Context triple: [Essex, Vermont, isNamedAfter, Essex, England]
  • A. Suffolk, England
    Suffolk, England is a historic rural county in East Anglia known for its medieval towns, coastal landscapes, and agricultural heritage.
  • B. Cambridgeshire, England
    Cambridgeshire, England is a historic county in eastern England known for its rural landscapes and as the home of the prestigious University of Cambridge.
  • C. Essex chosen
    Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
  • D. Pitsea, Essex, England
    Pitsea is a suburban town in the borough of Basildon in Essex, England, known as a residential and commercial area with local football representation through Bowers & Pitsea F.C.
  • E. Middlesex, England
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135d65988190b35392bdf1e45985 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.