Triple
T8317421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame Open |
E194739
|
entity |
| Predicate | usesBalls |
P3186
|
FINISHED |
| Object | ATP-approved tennis balls |
—
|
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: ATP-approved tennis balls | Statement: [Hall of Fame Open, usesBalls, ATP-approved tennis balls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBalls Context triple: [Hall of Fame Open, usesBalls, ATP-approved tennis balls]
-
A.
usesBallShape
Indicates that one entity employs or incorporates a ball-like (spherical) shape in its form, design, or operation.
-
B.
ballType
chosen
Indicates the specific category or kind of ball associated with an entity.
-
C.
usesBallColor
Indicates that an entity performs an action or operates in a way that depends on or involves the color of a ball.
-
D.
usesBatAndBall
Indicates that the action or activity involves the use of both a bat and a ball together.
-
E.
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).
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f630ea881909fb639383e60aee9 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:55 p.m.