Triple
T27860128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kop Stand |
E704202
|
entity |
| Predicate | roleInMatchday |
P137843
|
FINISHED |
| Object | focal point for crowd noise |
—
|
LITERAL FINISHED |
How this triple was built (2 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: focal point for crowd noise | Statement: [Kop Stand, roleInMatchday, focal point for crowd noise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMatchday Context triple: [Kop Stand, roleInMatchday, focal point for crowd noise]
-
A.
roleAtMatches
chosen
Indicates that an entity’s role or position at a given time or context matches a specified role criterion.
-
B.
roleAtStadium
Indicates that an entity holds a specific role, function, or position associated with a particular stadium.
-
C.
roleInSoccer
Indicates the specific function or position an entity holds within the context of playing or organizing a soccer game.
-
D.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
E.
roleInWorldCup
Indicates the specific capacity or function an entity had in the context of a World Cup tournament (e.g., player, coach, referee, host).
- F. None of above.
Provenance (3 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 27, 2026, 6:17 p.m.