Triple
T21471544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Bomber |
E529743
|
entity |
| Predicate | referentMajorTitle |
P20947
|
FINISHED |
| Object | 1974 FIFA World Cup winner |
—
|
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: 1974 FIFA World Cup winner | Statement: [Der Bomber, referentMajorTitle, 1974 FIFA World Cup winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referentMajorTitle Context triple: [Der Bomber, referentMajorTitle, 1974 FIFA World Cup winner]
-
A.
hasMajorTitle
chosen
Indicates that an entity holds or has been awarded a significant, high-prestige title or championship.
-
B.
recognizedAsMajorTitleAlongside
Indicates that one work, achievement, or honor is acknowledged as a principal or flagship title together with another, placing them on the same level of major significance.
-
C.
titleOrRole
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
D.
refersToWorkTitleAbbreviationOf
Indicates that one entity refers to a work by using an abbreviated form of that work’s title.
-
E.
canonicalReferenceTitle
Indicates that one entity serves as the standard or authoritative title by which another entity is formally referenced or identified.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea13adfc819093324ae6fe66c3fd |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:18 p.m.