Triple
T10141920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DW Stadium |
E231601
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
East Stand
The East Stand is a spectator seating section of the DW Stadium, providing views of the pitch for fans during sporting events.
|
E844553
|
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: East Stand | Statement: [DW Stadium, hasPart, East Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: East Stand Context triple: [DW Stadium, hasPart, East Stand]
-
A.
East Stand
East Stand is a spectator seating section of King Power Stadium, home of Leicester City Football Club.
-
B.
East Stand
The East Stand is one of the main spectator stands at Old Trafford stadium, providing seating and facilities for fans watching Manchester United home matches.
-
C.
East Stand
East Stand is a spectator seating section of Loftus Versfeld Stadium in Pretoria, South Africa, used for viewing rugby and football matches.
-
D.
East Stand
The East Stand is a major spectator stand at Elland Road stadium, home of Leeds United Football Club.
-
E.
East Stand
East Stand is a spectator seating section of Keepmoat Stadium, providing views of the pitch and hosting fans during events.
- 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: East Stand Triple: [DW Stadium, hasPart, East Stand]
Generated description
The East 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: East Stand Target entity description: The East Stand is a spectator seating section of the DW Stadium, providing views of the pitch for fans during sporting events.
-
A.
East Stand
East Stand is a spectator seating section of the Madejski Stadium, providing views of the pitch for fans during sporting and other events.
-
B.
East Stand
East Stand is a spectator seating section within Eco-Power Stadium, providing views of the pitch and facilities for fans during events.
-
C.
East Stand
East Stand is a spectator seating section of Keepmoat Stadium, providing views of the pitch and hosting fans during events.
-
D.
East Stand
East Stand is a spectator seating section of the Reebok Stadium, providing views along one side of the football ground.
-
E.
East Stand
East Stand is a spectator seating section at Rugby Park stadium, providing views of the pitch from the eastern side.
- 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.