Triple

T941440
Position Surface form Disambiguated ID Type / Status
Subject Midlands E20314 entity
Predicate historicTown P1098 FINISHED
Object Lichfield
Lichfield is a historic cathedral city in Staffordshire, England, renowned for its medieval architecture and cultural heritage in the Midlands.
 E138775 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: Lichfield | Statement: [Midlands, historicTown, Lichfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lichfield
Context triple: [Midlands, historicTown, Lichfield]
  • A. Telford
    Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
  • B. Telford
    Telford is a large new town in England’s West Midlands, known for its rapid post-war development and proximity to the Ironbridge Gorge World Heritage Site.
  • C. Middlewich
    Middlewich is a historic market town in Cheshire, England, known for its long-standing salt production and location at the junction of several canals.
  • D. Rugeley
    Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
  • E. Wolverhampton
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • 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: Lichfield
Triple: [Midlands, historicTown, Lichfield]
Generated description
Lichfield is a historic cathedral city in Staffordshire, England, renowned for its medieval architecture and cultural heritage in the Midlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lichfield
Target entity description: Lichfield is a historic cathedral city in Staffordshire, England, renowned for its medieval architecture and cultural heritage in the Midlands.
  • A. Telford
    Telford is a large new town in England’s West Midlands, known for its rapid post-war development and proximity to the Ironbridge Gorge World Heritage Site.
  • B. Telford
    Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
  • C. Middlewich
    Middlewich is a historic market town in Cheshire, England, known for its long-standing salt production and location at the junction of several canals.
  • D. Rugeley
    Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
  • E. Wolverhampton
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b38cc6888190b1d9043ec8fbcbc3 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac82f9610c819094bc8d9e5f242816 completed March 7, 2026, 7:56 p.m.
NEDg Description generation batch_69ac835e33d48190adfc30fa0feab6d4 completed March 7, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69ac83b8321c8190afe5eae608b255ee completed March 7, 2026, 7:59 p.m.
Created at: March 1, 2026, 7:40 p.m.