Triple

T7789047
Position Surface form Disambiguated ID Type / Status
Subject ITV Central E187326 entity
Predicate areaServed P82 FINISHED
Object Herefordshire E76820 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: Herefordshire | Statement: [ITV Central, areaServed, Herefordshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herefordshire
Context triple: [ITV Central, areaServed, Herefordshire]
  • A. Herefordshire chosen
    Herefordshire is a predominantly rural county in the West Midlands of England, known for its agriculture, rolling countryside, and the cathedral city of Hereford.
  • B. Wiltshire
    Wiltshire is a historic rural county in South West England known for landmarks such as Stonehenge, Salisbury Cathedral, and its longstanding military presence.
  • C. Shropshire
    Shropshire is a largely rural county in the West Midlands of England, known for its historic market towns, rolling countryside, and parts of the Shropshire Hills Area of Outstanding Natural Beauty.
  • D. Gloucestershire
    Gloucestershire is a historic county in South West England known for its rural Cotswolds landscapes, cathedral city of Gloucester, and rich medieval heritage.
  • E. Somerset
    Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cae7e8a0d08190b6d4ca560681eb35 completed March 30, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb139fdf188190b1c80dd6d008c34d completed March 31, 2026, 12:21 a.m.
Created at: March 30, 2026, 4:25 p.m.