Triple
T11753446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westfalenstadion |
E279463
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
South Stand
South Stand is the famous single-tier terrace at Borussia Dortmund’s Westfalenstadion, renowned for its massive, passionate crowd known as the “Yellow Wall.”
|
E945349
|
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: South Stand | Statement: [Westfalenstadion, hasStand, South Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Stand Context triple: [Westfalenstadion, hasStand, South Stand]
-
A.
South Stand
South Stand is a spectator seating section within the Gtech Community Stadium, home to Brentford Football Club in London.
-
B.
South Stand
South Stand is a spectator seating section within Philips Stadion, the home ground of Dutch football club PSV Eindhoven.
-
C.
South Stand
South Stand is a spectator seating section within Colchester United’s Colchester Community Stadium, typically accommodating home supporters during football matches.
-
D.
South Stand
The South Stand is a spectator seating area at Rodney Parade stadium, used primarily for watching rugby and football matches.
-
E.
South Stand
South Stand is a spectator seating section of Kings Park Stadium, a major rugby and sports venue in Durban, South Africa.
- 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: South Stand Triple: [Westfalenstadion, hasStand, South Stand]
Generated description
South Stand is the famous single-tier terrace at Borussia Dortmund’s Westfalenstadion, renowned for its massive, passionate crowd known as the “Yellow Wall.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Stand Target entity description: South Stand is the famous single-tier terrace at Borussia Dortmund’s Westfalenstadion, renowned for its massive, passionate crowd known as the “Yellow Wall.”
-
A.
South Stand
South Stand is the massive single-tier home end of Tottenham Hotspur Stadium, designed to create an intense, wall-of-sound atmosphere behind one of the goals.
-
B.
South Stand
South Stand is a major spectator stand at Hillsborough Stadium, home of Sheffield Wednesday F.C., providing seating and facilities for fans during football matches and events.
-
C.
South Stand
South Stand is a major spectator stand at Elland Road, the home stadium of Leeds United Football Club.
-
D.
South Stand
South Stand is a spectator seating section within the Stadium of Light football stadium in Sunderland, England.
-
E.
South Stand
South Stand is a spectator seating section within 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_69f090416334819084dc63d896c0c04a |
completed | April 28, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69f0bd36673881908530b68e496c3d2e |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0eec1f5d081908624fe2a93995fe5 |
completed | April 28, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:41 p.m.