Triple
T454977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany national football team |
E7212
|
entity |
| Predicate | WorldCupSemiFinalAppearances |
P13990
|
FINISHED |
| Object | many |
—
|
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: many | Statement: [Germany national football team, WorldCupSemiFinalAppearances, many]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldCupSemiFinalAppearances Context triple: [Germany national football team, WorldCupSemiFinalAppearances, many]
-
A.
nationalTeamAppearances
Indicates the number of official matches in which an entity has represented its national team.
-
B.
playoffAppearances
Indicates the number of times an entity (such as a team or player) has qualified for and participated in postseason playoff competition.
-
C.
numberOfGoals
Indicates the total count of goals scored or achieved by an entity in a given context.
-
D.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
E.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
- 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.