Triple

T11753447
Position Surface form Disambiguated ID Type / Status
Subject Westfalenstadion E279463 entity
Predicate hasStand P6313 FINISHED
Object North Stand
The North Stand is a spectator section of Borussia Dortmund’s Westfalenstadion, known for hosting part of the stadium’s passionate home support.
 E945009 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: [Westfalenstadion, hasStand, North Stand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: North Stand
Context triple: [Westfalenstadion, hasStand, North Stand]
  • A. North Stand
    North Stand is a spectator seating section at East End Park, the home stadium of Dunfermline Athletic Football Club in Scotland.
  • B. North Stand
    The North Stand is one of the main spectator sections of Dublin’s Aviva Stadium, providing tiered seating behind one of the goals for rugby and football matches.
  • C. North Stand
    North Stand is a spectator seating section within Parc y Scarlets stadium, providing views of the pitch from the northern side.
  • D. North Stand
    North Stand is a spectator seating section located behind one of the goals at Keepmoat Stadium, home of Doncaster Rovers FC.
  • E. North Stand
    North Stand is a spectator seating section of the Macron Stadium, home ground of Bolton Wanderers Football Club in Bolton, England.
  • 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: [Westfalenstadion, hasStand, North Stand]
Generated description
The North Stand is a spectator section of Borussia Dortmund’s Westfalenstadion, known for hosting part of the stadium’s passionate home support.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: North Stand
Target entity description: The North Stand is a spectator section of Borussia Dortmund’s Westfalenstadion, known for hosting part of the stadium’s passionate home support.
  • A. North Stand
    The North Stand is a spectator seating section of the DW Stadium, providing views of the pitch for fans during sporting events.
  • B. North Stand
    North Stand is a spectator seating section of the Reebok Stadium, serving as one of its main stands for football fans.
  • C. North Stand
    North Stand is a spectator seating section within the City of Manchester Stadium, home of Manchester City Football Club.
  • D. North Stand
    North Stand is a spectator seating section within Windsor Park stadium, typically used by fans attending football and other sporting events.
  • E. North Stand
    North Stand is a spectator seating section of Philips Stadion, the home ground of Dutch football club PSV Eindhoven.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50b8a14819092a7397d73f0a8e3 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a21559c819097d0287dd8e2f411 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319622c48190bee6c906f08c0a8c completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05ad36e4c8190b7239e5b33713369 completed April 28, 2026, 6:59 a.m.
Created at: April 8, 2026, 9:41 p.m.