Triple
T1666749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loftus Versfeld Stadium |
E36028
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
South Stand
South Stand is a spectator seating section located on the southern side of Loftus Versfeld Stadium in Pretoria, South Africa.
|
E188609
|
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: [Loftus Versfeld Stadium, hasStand, South Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Stand Context triple: [Loftus Versfeld Stadium, hasStand, South 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.
South Stand
South Stand is a spectator seating section within Dublin’s Aviva Stadium, offering views of rugby and football matches and other major events.
-
E.
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.
- 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: [Loftus Versfeld Stadium, hasStand, South Stand]
Generated description
South Stand is a spectator seating section located on the southern side of Loftus Versfeld Stadium in Pretoria, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Stand Target entity description: South Stand is a spectator seating section located on the southern side of Loftus Versfeld Stadium in Pretoria, South Africa.
-
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.
South Stand
South Stand is a spectator seating section within Dublin’s Aviva Stadium, offering views of rugby and football matches and other major events.
-
E.
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.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90adc57cc8190b270004c363768e3 |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad682fd42881908ecd0f331e81aba8 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad69c8af5481909d73d90e1dcaf560 |
completed | March 8, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad6a4aebb88190a27350216add031b |
completed | March 8, 2026, 12:23 p.m. |
Created at: March 4, 2026, 7:29 p.m.