Triple
T16071790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCI Continental Teams |
E389880
|
entity |
| Predicate | mayBeRegisteredAs |
P121769
|
FINISHED |
| Object | professional team |
—
|
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: professional team | Statement: [UCI Continental Teams, mayBeRegisteredAs, professional team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeRegisteredAs Context triple: [UCI Continental Teams, mayBeRegisteredAs, professional team]
-
A.
mayBeSignedAs
Indicates that one entity can optionally be used or recognized as the signature or signed form of another entity.
-
B.
supportsRegistration
Indicates that an entity provides the capability or functionality to handle or accept registration actions or processes.
-
C.
hasRegister
Indicates that one entity possesses, contains, or is associated with a specific register (such as a record, log, or hardware register).
-
D.
canBeDefinedFor
Indicates that a certain concept, operation, or property is applicable to and can be meaningfully specified for a given entity or set of entities.
-
E.
mayBeRecordedAs
Indicates that something can optionally be documented or stored in a recorded form, but is not required to be.
- 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_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. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:57 a.m.