Triple
T2604311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital One Cup |
E58620
|
entity |
| Predicate | tierOfFootball |
P24689
|
FINISHED |
| Object | professional |
—
|
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 | Statement: [Capital One Cup, tierOfFootball, professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierOfFootball Context triple: [Capital One Cup, tierOfFootball, professional]
-
A.
tierInNationalFootball
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
-
B.
typeOfFootball
chosen
Indicates the specific code or variant of football that characterizes or classifies a given football-related entity.
-
C.
leagueType
Indicates the classification or category of a league within a broader organizational or competitive structure.
-
D.
levelInUEFASystem
Indicates the specific tier or division an entity occupies within the hierarchical structure of the UEFA football league system.
-
E.
league2
Indicates that an entity participates in, is a member of, or is otherwise affiliated with a specific sports league or competitive organization.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.