Triple
T12893723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-American Girls Professional Baseball League |
E308436
|
entity |
| Predicate | initialBallSize |
P107305
|
FINISHED |
| Object | 12 inches |
—
|
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: 12 inches | Statement: [All-American Girls Professional Baseball League, initialBallSize, 12 inches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialBallSize Context triple: [All-American Girls Professional Baseball League, initialBallSize, 12 inches]
-
A.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
B.
initialChipOption
Indicates that an entity represents the first or default chip-style selectable option presented in a set of choices.
-
C.
berrySize
Indicates the relative magnitude or dimensions of a berry in terms of its physical size.
-
D.
usesBallShape
Indicates that one entity employs or incorporates a ball-like (spherical) shape in its form, design, or operation.
-
E.
ballCircumferenceRange
Indicates the range of possible circumferences that a ball can have.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:40 p.m.