Triple
T12283125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audax Italiano |
E292762
|
entity |
| Predicate | sportingFocusChange |
P96211
|
FINISHED |
| Object | from cycling to football |
—
|
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: from cycling to football | Statement: [Audax Italiano, sportingFocusChange, from cycling to football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportingFocusChange Context triple: [Audax Italiano, sportingFocusChange, from cycling to football]
-
A.
sportingEventFocus
Indicates the primary subject, theme, or aspect that a sporting event is centered around or emphasizes.
-
B.
sportFocus
Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
-
C.
sportingMovement
Indicates a physical action or motion performed as part of a sport or athletic activity.
-
D.
focusesOnTeam
Indicates that the subject directs attention, effort, or priority toward a particular team as the main area of concern or activity.
-
E.
focusShift
chosen
Indicates a change in attention or emphasis from one entity or topic to another.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.