Triple
T1343461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aviva Stadium |
E28516
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
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.
|
E154076
|
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: [Aviva Stadium, hasStand, West Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Stand Context triple: [Aviva Stadium, hasStand, West Stand]
-
A.
South Stand
South Stand is a spectator seating section at East End Park, the home stadium of Dunfermline Athletic Football Club in Scotland.
-
B.
South Stand
South Stand is a spectator seating section at Abbey Stadium, the home ground of Cambridge United FC.
-
C.
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.
-
D.
North Stand
North Stand is a spectator seating section at East End Park, the home stadium of Dunfermline Athletic Football Club in Scotland.
-
E.
North Stand
North Stand is a spectator seating section within the City of Manchester Stadium, home of Manchester City Football Club.
- 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: [Aviva Stadium, hasStand, West Stand]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: West Stand Target entity description: 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.
-
A.
South Stand
South Stand is a spectator seating section at East End Park, the home stadium of Dunfermline Athletic Football Club in Scotland.
-
B.
South Stand
South Stand is a spectator seating section at Abbey Stadium, the home ground of Cambridge United FC.
-
C.
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.
-
D.
North Stand
North Stand is a spectator seating section at East End Park, the home stadium of Dunfermline Athletic Football Club in Scotland.
-
E.
North Stand
North Stand is a spectator seating section within the City of Manchester Stadium, home of Manchester City 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23b8a9081908b78405d4ef806af |
completed | March 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc632cbc88190a64897f1b101c699 |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc6dbd80881908d640ee204ce9a12 |
completed | March 8, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc8199f508190a86c18ad9085d341 |
completed | March 8, 2026, 12:51 a.m. |
Created at: March 1, 2026, 7:56 p.m.