Triple
T27770746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United by Football – Vereint im Herzen Europas |
E701736
|
entity |
| Predicate | englishPart |
P163235
|
FINISHED |
| Object | United by Football |
—
|
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: United by Football | Statement: [United by Football – Vereint im Herzen Europas, englishPart, United by Football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: englishPart Context triple: [United by Football – Vereint im Herzen Europas, englishPart, United by Football]
-
A.
EnglishSide
Indicates that one entity is positioned on, associated with, or aligned to the English side or perspective in a given context.
-
B.
englishFlagship
Indicates that an entity participates in or is associated with an English flagship program (typically an intensive, advanced English language or studies track).
-
C.
EnglishTranslation
Indicates that one expression is the English-language translation equivalent of another expression.
-
D.
bahasaInggris
Indicates that something is expressed, written, or communicated in the English language.
-
E.
EnglishObjective
Indicates that an entity has English language proficiency or achievement as a goal or target to be attained.
- 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.