Triple

T1111221
Position Surface form Disambiguated ID Type / Status
Subject Buckinghamshire E10606 entity
Predicate borders P224 FINISHED
Object Northamptonshire E66376 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: Northamptonshire | Statement: [Buckinghamshire, borders, Northamptonshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northamptonshire
Context triple: [Buckinghamshire, borders, Northamptonshire]
  • A. Northamptonshire chosen
    Northamptonshire is a historic, landlocked county in the East Midlands of England known for its market towns, rural landscapes, and long association with the footwear and leather industries.
  • B. Bedfordshire
    Bedfordshire is a ceremonial and non-metropolitan county in the East of England, known for its mix of rural countryside, market towns, and the large town of Luton.
  • C. Huntingdonshire
    Huntingdonshire is a historic county and former administrative district in eastern England, now largely incorporated into Cambridgeshire.
  • D. Oxfordshire
    Oxfordshire is a historic county in South East England known for the city of Oxford and its prestigious university, as well as its stately homes and rural landscapes.
  • E. Wiltshire
    Wiltshire is a historic rural county in South West England known for landmarks such as Stonehenge, Salisbury Cathedral, and its longstanding military presence.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bb7742788190b320aec99e76ca41 completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69afb6573b108190a9d5a2053e7f3b8c completed March 10, 2026, 6:12 a.m.
Created at: March 1, 2026, 7:43 p.m.