Triple
T27770747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United by Football – Vereint im Herzen Europas |
E701736
|
entity |
| Predicate | germanPart |
P163236
|
FINISHED |
| Object | Vereint im Herzen Europas |
—
|
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: Vereint im Herzen Europas | Statement: [United by Football – Vereint im Herzen Europas, germanPart, Vereint im Herzen Europas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: germanPart Context triple: [United by Football – Vereint im Herzen Europas, germanPart, Vereint im Herzen Europas]
-
A.
locatedInPartOfGermany
Indicates that one entity is geographically situated within a specific region or part of Germany.
-
B.
germanUnit
Indicates that an entity is a military or organizational unit that belongs to, originates from, or is associated with Germany.
-
C.
containsGermanSpeakingArea
Indicates that one entity geographically includes an area where German is predominantly spoken.
-
D.
oneOfGermanys
Indicates that something or someone belongs to the set of entities that are part of, originate from, or are associated with Germany.
-
E.
objectiveGermany
Indicates that an entity has Germany as its objective, target, or goal in a given context.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f637962be88190b63239f6e4b782f4 |
completed | May 2, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 4:34 p.m.