Triple
T454966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany national football team |
E7212
|
entity |
| Predicate | WorldCupAppearances |
P13983
|
FINISHED |
| Object | numerous |
—
|
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: numerous | Statement: [Germany national football team, WorldCupAppearances, numerous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldCupAppearances Context triple: [Germany national football team, WorldCupAppearances, numerous]
-
A.
nationalTeamAppearances
Indicates the number of official matches in which an entity has represented its national team.
-
B.
clubAppearances
Indicates the number of official matches a player has played for a particular club.
-
C.
hasBowlAppearances
Indicates that an entity has participated in one or more bowl game appearances.
-
D.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
E.
runnerUpConsecutiveAppearances
Indicates that an entity has achieved runner-up status in a competition for a specified number of consecutive appearances or editions.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef87cc7c8190a0fec933457821e2 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede4de008190b5a6c159e741522e |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeeb85f881909580a6a86332b4a5 |
completed | Feb. 28, 2026, 1:34 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.