Triple

T5867663
Position Surface form Disambiguated ID Type / Status
Subject Nottingham derby E130435 entity
Predicate hasHomeStadium P890 FINISHED
Object City Ground
City Ground is a football stadium in Nottingham, England, best known as the long-time home of Nottingham Forest F.C.
 E549811 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: City Ground | Statement: [Nottingham derby, hasHomeStadium, City Ground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: City Ground
Context triple: [Nottingham derby, hasHomeStadium, City Ground]
  • A. Castlefield
    Castlefield is a historic urban area in Manchester, England, known for its preserved industrial heritage, canals, and Roman origins.
  • B. Castlefields
    Castlefields is a residential suburb within the town of Runcorn in Cheshire, England.
  • C. City Quays
    City Quays is a modern mixed-use waterfront development in Belfast featuring offices, hotels, and public spaces as part of the city’s wider dockside regeneration.
  • D. Coal Hill
    Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
  • E. Egmore
    Egmore is a prominent neighborhood in central Chennai, India, known as a major cultural, commercial, and transportation hub of the city.
  • 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: City Ground
Triple: [Nottingham derby, hasHomeStadium, City Ground]
Generated description
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: City Ground
Target entity description: City Ground is a football stadium in Nottingham, England, best known as the long-time home of Nottingham Forest F.C.
  • A. Castlefield
    Castlefield is a historic urban area in Manchester, England, known for its preserved industrial heritage, canals, and Roman origins.
  • B. Castlefields
    Castlefields is a residential suburb within the town of Runcorn in Cheshire, England.
  • C. City Quays
    City Quays is a modern mixed-use waterfront development in Belfast featuring offices, hotels, and public spaces as part of the city’s wider dockside regeneration.
  • D. Coal Hill
    Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
  • E. Egmore
    Egmore is a prominent neighborhood in central Chennai, India, known as a major cultural, commercial, and transportation hub of the city.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035c27e708190b46c707d61c78877 completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1d0c5a88190be8dee862e71a0f6 completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a2ab17f481908f2d492e4d9d90fb completed March 23, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0a325410c8190925e5d9961baf829 completed March 23, 2026, 2:19 a.m.
Created at: March 22, 2026, 3:56 p.m.