Triple
T4573590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Day International |
E123091
|
entity |
| Predicate | typicalTeamType |
P2705
|
FINISHED |
| Object | national 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: national team | Statement: [One Day International, typicalTeamType, national team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTeamType Context triple: [One Day International, typicalTeamType, national team]
-
A.
typeOfTeams
chosen
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
-
B.
typicalTeamDesignation
Indicates the standard or commonly used team name or label that is typically assigned to an entity.
-
C.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
D.
typicalTeamComposition
Indicates the usual or standard combination of roles or members that make up a team.
-
E.
majorTeam
Indicates that one entity is the primary or most significant team associated with another entity (such as a person, event, or 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c89a5c81909a78bf0ac64777ad |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.