Triple

T2875090
Position Surface form Disambiguated ID Type / Status
Subject Romans-sur-Isère E56858 entity
Predicate twinnedWith P1072 FINISHED
Object Coalville
Coalville is an industrial town in Leicestershire, England, historically known for its coal mining and manufacturing heritage.
 E305799 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: Coalville | Statement: [Romans-sur-Isère, twinnedWith, Coalville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coalville
Context triple: [Romans-sur-Isère, twinnedWith, Coalville]
  • A. Wolverley
    Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
  • B. Wrottesley
    Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
  • C. Thamesville
    Thamesville is a small community in southwestern Ontario, Canada, known for its rural character and location within the municipality of Chatham-Kent.
  • D. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • E. Ashby
    Ashby is a surname most notably associated with Hal Ashby, the influential American film director known for 1970s classics such as "Harold and Maude" and "Being There."
  • 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: Coalville
Triple: [Romans-sur-Isère, twinnedWith, Coalville]
Generated description
Coalville is an industrial town in Leicestershire, England, historically known for its coal mining and manufacturing heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coalville
Target entity description: Coalville is an industrial town in Leicestershire, England, historically known for its coal mining and manufacturing heritage.
  • A. Wolverley
    Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
  • B. Wrottesley
    Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
  • C. Thamesville
    Thamesville is a small community in southwestern Ontario, Canada, known for its rural character and location within the municipality of Chatham-Kent.
  • D. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • E. Ashby
    Ashby is a surname most notably associated with Hal Ashby, the influential American film director known for 1970s classics such as "Harold and Maude" and "Being There."
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe004a64481908f1897d9054a7368 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db780908190919d859205464b2e completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b0201470cc81909188573c3749dffb completed March 10, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69b020aa00888190a683a621f1e1a107 completed March 10, 2026, 1:46 p.m.
Created at: March 6, 2026, 10:03 p.m.