Triple

T16276468
Position Surface form Disambiguated ID Type / Status
Subject County of London E395140 entity
Predicate hasBorderWith P224 FINISHED
Object County of Essex 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: County of Essex | Statement: [County of London, hasBorderWith, County of Essex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County of Essex
Context triple: [County of London, hasBorderWith, County of Essex]
  • A. Essex chosen
    Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
  • B. Essex County
    Essex County is a county in eastern Virginia located along the Rappahannock River, known for its rural character and historic colonial-era roots.
  • C. Essex County
    Essex County is a largely rural county in northeastern New York State known for encompassing much of the Adirondack Mountains and popular outdoor recreation areas.
  • D. Essex County
    Essex County is a historic coastal county in northeastern Massachusetts that includes cities such as Lynn, Salem, and Lawrence.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460ea5a4819099f779288a754c8d completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3d8f188190969b75d82c6b13f0 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:05 a.m.