Triple
T1142510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAF Champions League winner |
E23484
|
entity |
| Predicate | squadType |
P2705
|
FINISHED |
| Object | professional club teams |
—
|
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 club teams | Statement: [CAF Champions League winner, squadType, professional club teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: squadType Context triple: [CAF Champions League winner, squadType, professional club teams]
-
A.
squadron
Indicates that an entity is organized into or associated with a specific squadron as a formal operational unit.
-
B.
squadronCode
Indicates the identifying code assigned to a military or aviation squadron that denotes its unit designation.
-
C.
typeOfTroops
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
-
D.
typeOfTeams
chosen
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
-
E.
typicalTeamComposition
Indicates the usual or standard combination of roles or members that make up a team.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4d414881908fc636e8ccbc4c34 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.