Triple
T36859088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centenary Stand |
E910878
|
entity |
| Predicate | sideOfPitch |
P29384
|
FINISHED |
| Object | main stand side |
—
|
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: main stand side | Statement: [Centenary Stand, sideOfPitch, main stand side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideOfPitch Context triple: [Centenary Stand, sideOfPitch, main stand side]
-
A.
fieldSide
chosen
Indicates the relative side or position of something with respect to a defined field or playing area.
-
B.
sideOfBall
Indicates the relative position of an entity with respect to a ball, specifying on which side of the ball the entity is located.
-
C.
playersPerSideOnField
Indicates the number of players from each team that are simultaneously present on the field during play.
-
D.
numberOfTeamsOnFieldPerSide
Indicates how many teams are present on the field for each opposing side during play.
-
E.
homeSoccerField
Indicates that a particular soccer field serves as the designated home field for a given team or organization.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.