Triple
T7187233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American football |
E167602
|
entity |
| Predicate | usesBallShape |
P75899
|
FINISHED |
| Object | oval-shaped ball |
—
|
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: oval-shaped ball | Statement: [American football, usesBallShape, oval-shaped ball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBallShape Context triple: [American football, usesBallShape, oval-shaped ball]
-
A.
usesBallColor
Indicates that an entity performs an action or operates in a way that depends on or involves the color of a ball.
-
B.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
C.
playsOnSideOfBall
Indicates that one entity participates in a game or sport on a particular side or unit of the ball (e.g., offense or defense).
-
D.
sideOfBall
Indicates the relative position of an entity with respect to a ball, specifying on which side of the ball the entity is located.
-
E.
usesBallparkFor
Indicates that one entity makes use of a particular ballpark facility for its activities or events.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e9aeb1b08190ace6f978387c89aa |
completed | March 27, 2026, 8:33 p.m. |
Created at: March 27, 2026, 2:50 p.m.