Triple
T10779738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bullens Road Stand |
E254285
|
entity |
| Predicate | relativePositionInStadium |
P95425
|
FINISHED |
| Object | side stand |
—
|
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: side stand | Statement: [Bullens Road Stand, relativePositionInStadium, side stand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativePositionInStadium Context triple: [Bullens Road Stand, relativePositionInStadium, side stand]
-
A.
positionInCourt
Indicates the specific role or standing an entity holds within a court setting or judicial proceeding.
-
B.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
C.
positionInLeagueSystem
Indicates the rank or tier an entity holds within an organized league or competitive system.
-
D.
playsInPosition
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
-
E.
clubPosition
Indicates the specific role or position an individual holds within a sports club or team.
- F. None of above. chosen
Provenance (4 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c384bc81908f503f3a2e0503a4 |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:17 p.m.