Triple

T8515204
Position Surface form Disambiguated ID Type / Status
Subject sub-Roman Britain E201555 entity
Predicate hasRegion P285 FINISHED
Object Elmet
Elmet was a small Brittonic kingdom in what is now northern England that survived into the early medieval period after the end of Roman rule in Britain.
 E738797 NE FINISHED

How this triple was built (4 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: Elmet | Statement: [sub-Roman Britain, hasRegion, Elmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elmet
Context triple: [sub-Roman Britain, hasRegion, Elmet]
  • A. Ravensworth
    Ravensworth is a rural locality within Singleton Shire in New South Wales, Australia, known for its agricultural lands and proximity to mining operations.
  • B. Elfstone
    Elfstone is an honorific name given to Aragorn, the Dúnedain ranger who becomes King Elessar in J.R.R. Tolkien’s Middle-earth legendarium.
  • C. Eythorne
    Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
  • D. Stonethwaite
    Stonethwaite is a small rural village in the Borrowdale valley of England’s Lake District, known for its scenic landscapes and traditional stone-built houses.
  • E. Thelwall
    Thelwall is a village in Warrington, Cheshire, England, known for its proximity to major transport routes including the M6 motorway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elmet
Triple: [sub-Roman Britain, hasRegion, Elmet]
Generated description
Elmet was a small Brittonic kingdom in what is now northern England that survived into the early medieval period after the end of Roman rule in Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elmet
Target entity description: Elmet was a small Brittonic kingdom in what is now northern England that survived into the early medieval period after the end of Roman rule in Britain.
  • A. Ravensworth
    Ravensworth is a rural locality within Singleton Shire in New South Wales, Australia, known for its agricultural lands and proximity to mining operations.
  • B. Elfstone
    Elfstone is an honorific name given to Aragorn, the Dúnedain ranger who becomes King Elessar in J.R.R. Tolkien’s Middle-earth legendarium.
  • C. Eythorne
    Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
  • D. Stonethwaite
    Stonethwaite is a small rural village in the Borrowdale valley of England’s Lake District, known for its scenic landscapes and traditional stone-built houses.
  • E. Thelwall
    Thelwall is a village in Warrington, Cheshire, England, known for its proximity to major transport routes including the M6 motorway.
  • F. None of above. chosen

Provenance (5 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60f37b0819082ae14e539f57b56 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e5dbb3c81909157e6b04a4956af completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffac8a08190bc2131c0d260ca39 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce5117c7508190b74821d029d226c6 completed April 2, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:15 p.m.