Triple

T22244703
Position Surface form Disambiguated ID Type / Status
Subject City Ground E549811 entity
Predicate hasNickname P39 FINISHED
Object The City Ground
The City Ground is a football stadium in Nottingham, England, best known as the long-time home of Nottingham Forest F.C.
 E1527501 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: The City Ground | Statement: [City Ground, hasNickname, The City Ground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The City Ground
Context triple: [City Ground, hasNickname, The City Ground]
  • A. Abbey Stadium
    Abbey Stadium is a football ground in Cambridge, England, best known as the long-time home of Cambridge United F.C.
  • B. London Road Stadium
    London Road Stadium is a football stadium in Peterborough, England, best known as the long-time home of Peterborough United F.C.
  • C. Cappielow Park
    Cappielow Park is a historic football stadium in Greenock, Scotland, best known as the long-time home ground of Greenock Morton F.C.
  • D. One Call Stadium
    One Call Stadium is a football ground in Mansfield, England, best known as the long-standing home of Mansfield Town F.C.
  • E. Shell Stadium
    Shell Stadium is a sports venue in Geelong, Australia, best known as the home ground of the Geelong Football Club in the Australian Football League.
  • 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: The City Ground
Triple: [City Ground, hasNickname, The City Ground]
Generated description
The City Ground is a football stadium in Nottingham, England, best known as the long-time home of Nottingham Forest F.C.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The City Ground
Target entity description: The City Ground is a football stadium in Nottingham, England, best known as the long-time home of Nottingham Forest F.C.
  • A. Abbey Stadium
    Abbey Stadium is a football ground in Cambridge, England, best known as the long-time home of Cambridge United F.C.
  • B. London Road Stadium
    London Road Stadium is a football stadium in Peterborough, England, best known as the long-time home of Peterborough United F.C.
  • C. Cappielow Park
    Cappielow Park is a historic football stadium in Greenock, Scotland, best known as the long-time home ground of Greenock Morton F.C.
  • D. One Call Stadium
    One Call Stadium is a football ground in Mansfield, England, best known as the long-standing home of Mansfield Town F.C.
  • E. Shell Stadium
    Shell Stadium is a sports venue in Geelong, Australia, best known as the home ground of the Geelong Football Club in the Australian Football League.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132170e5081909b9dbb204abf2a45 completed April 28, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab65a809c8190be94c20c994dcdbb completed May 18, 2026, 6:48 a.m.
NEDg Description generation batch_6a0ab7f904bc81909addafee8773eae0 completed May 18, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab891ba1c81909c9e9a5f29d4eb54 completed May 18, 2026, 6:58 a.m.
Created at: April 16, 2026, 8:38 p.m.