Triple

T10141921
Position Surface form Disambiguated ID Type / Status
Subject DW Stadium E231601 entity
Predicate hasPart P35 FINISHED
Object North Stand
The North Stand is a spectator seating section of the DW Stadium, providing views of the pitch for fans during sporting events.
 E844554 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: North Stand | Statement: [DW Stadium, hasPart, North Stand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: North Stand
Context triple: [DW Stadium, hasPart, North Stand]
  • A. North Stand
    North Stand is a spectator seating section of Hillsborough Stadium, home of Sheffield Wednesday Football Club.
  • B. North Stand
    North Stand is a spectator seating section located behind one of the goals at Keepmoat Stadium, home of Doncaster Rovers FC.
  • C. North Stand
    North Stand is a spectator seating section of the Macron Stadium, home ground of Bolton Wanderers Football Club in Bolton, England.
  • D. North Stand
    North Stand is a spectator seating section within Loftus Versfeld Stadium in Pretoria, South Africa, used for viewing rugby and football matches.
  • E. North Stand
    North Stand is a spectator seating section of the Reebok Stadium, serving as one of its main stands for football fans.
  • 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: North Stand
Triple: [DW Stadium, hasPart, North Stand]
Generated description
The North Stand is a spectator seating section of the DW Stadium, providing views of the pitch for fans during sporting events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: North Stand
Target entity description: The North Stand is a spectator seating section of the DW Stadium, providing views of the pitch for fans during sporting events.
  • A. North Stand
    North Stand is a spectator seating section at Rodney Parade stadium, providing views of the pitch for fans during sporting events.
  • B. North Stand
    North Stand is a spectator seating section within Windsor Park stadium, typically used by fans attending football and other sporting events.
  • C. North Stand
    North Stand is a spectator seating section of the Reebok Stadium, serving as one of its main stands for football fans.
  • D. North Stand
    North Stand is a spectator seating section within Parc y Scarlets stadium, providing views of the pitch from the northern side.
  • E. North Stand
    North Stand is a spectator seating section within Pride Park Stadium, home of Derby County Football Club.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e60e51488190a6097837eb3ce18a completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2ea2b0c2c8190ad96980673f182c1 completed April 5, 2026, 11:03 p.m.
NED2 Entity disambiguation (via description) batch_69d2ea7fe7948190baa7ffcfe5c399dd completed April 5, 2026, 11:04 p.m.
Created at: March 30, 2026, 9:07 p.m.