Triple
T6794777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eco-Power Stadium |
E156026
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
West Stand
West Stand is a spectator seating section of Eco-Power Stadium, providing covered views of the pitch for fans during matches and events.
|
E620047
|
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: West Stand | Statement: [Eco-Power Stadium, hasStand, West Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Stand Context triple: [Eco-Power Stadium, hasStand, West Stand]
-
A.
West Stand
West Stand is one of the main spectator stands in Dublin’s Aviva Stadium, providing seating and facilities for fans during sports and entertainment events.
-
B.
West Stand
West Stand is a spectator seating section of Loftus Versfeld Stadium in Pretoria, South Africa, used for viewing rugby and football matches.
-
C.
West Stand
West Stand is one of the main spectator stands at the Madejski Stadium, providing seating and facilities for fans attending events there.
-
D.
West Stand
West Stand is a spectator seating section within Parc y Scarlets stadium, providing views of the pitch for rugby and other events.
-
E.
West Stand
West Stand is a spectator seating area at Somerset Park, the home ground of Ayr United Football Club in Scotland.
- 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: West Stand Triple: [Eco-Power Stadium, hasStand, West Stand]
Generated description
West Stand is a spectator seating section of Eco-Power Stadium, providing covered views of the pitch for fans during matches and events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: West Stand Target entity description: West Stand is a spectator seating section of Eco-Power Stadium, providing covered views of the pitch for fans during matches and events.
-
A.
West Stand
West Stand is a spectator seating section of Keepmoat Stadium, providing covered views of the pitch for fans and visitors.
-
B.
West Stand
West Stand is a spectator seating section located on the western side of the Peninsula Stadium, providing views of the pitch for attending fans.
-
C.
West Stand
West Stand is a spectator seating section at Windsor Park stadium, providing covered views of the football pitch for fans.
-
D.
West Stand
West Stand is a spectator seating section within Parc y Scarlets stadium, providing views of the pitch for rugby and other events.
-
E.
West Stand
West Stand is a spectator seating section of Colchester United’s Colchester Community Stadium, providing covered views of the football pitch and associated matchday facilities.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c59648819081736d27d52d957f |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a90dfb081909120e8502b26a88b |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b88b27c8190b803f0e9f6402c44 |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c91e08c81908be81efc2087464a |
completed | March 28, 2026, 12:10 a.m. |
Created at: March 27, 2026, 2:15 p.m.