Triple
T16071822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCI Continental Teams |
E389880
|
entity |
| Predicate | squadComposition |
P79007
|
FINISHED |
| Object | may include riders from multiple nationalities |
—
|
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: may include riders from multiple nationalities | Statement: [UCI Continental Teams, squadComposition, may include riders from multiple nationalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: squadComposition Context triple: [UCI Continental Teams, squadComposition, may include riders from multiple nationalities]
-
A.
squadSelectionBasis
Indicates the criterion or rationale used to choose which individuals are included in a particular squad or team.
-
B.
typicalTeamComposition
Indicates the usual or standard combination of roles or members that make up a team.
-
C.
teamSelection
Indicates the assignment or choice of one or more individuals or entities to be part of a specific team.
-
D.
wasInSquadFor
Indicates that an individual was a member of a particular squad or team, typically for a specific event, period, or organization.
-
E.
squadCharacteristic
chosen
Indicates that a particular characteristic, trait, or property is attributed to a squad as a whole.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.