Triple

T3867453
Position Surface form Disambiguated ID Type / Status
Subject A1(M) motorway E91895 entity
Predicate hasSectionNear P37078 FINISHED
Object Stevenage E56839 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: Stevenage | Statement: [A1(M) motorway, hasSectionNear, Stevenage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stevenage
Context triple: [A1(M) motorway, hasSectionNear, Stevenage]
  • A. Stevenage chosen
    Stevenage is a large town and borough in Hertfordshire, England, known as one of the country’s first post-war New Towns with extensive modernist planning and residential development.
  • B. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • C. Broxbourne
    Broxbourne is a local government district and town in Hertfordshire, England, situated north of London and known for its residential communities and green spaces along the River Lea.
  • D. Slough
    Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
  • E. Beaconsfield
    Beaconsfield is a historic market town in South East England known for its affluent residential character and well-preserved old town architecture.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef90e5f408190abf8353e153d1558 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512410f38819089adccf0a476dd8f completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:19 p.m.