Triple
T32551076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The United States of Europe |
E831972
|
entity |
| Predicate | hasEnglishSubtitle |
P47403
|
FINISHED |
| Object | A Eurocrat's Vision of a New Europe |
—
|
NE NERFINISHED |
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: A Eurocrat's Vision of a New Europe | Statement: [The United States of Europe, hasEnglishSubtitle, A Eurocrat's Vision of a New Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishSubtitle Context triple: [The United States of Europe, hasEnglishSubtitle, A Eurocrat's Vision of a New Europe]
-
A.
hasSubtitles
Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
-
B.
languageOfSubtitles
chosen
Indicates the language in which the subtitles for a given media item are provided.
-
C.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
D.
hasIntertitlesLanguage
Indicates that the intertitles of a film or audiovisual work are presented in a specified language.
-
E.
hasApproximateEnglishTitle
Indicates that an entity is associated with an English title that is an approximate or non-exact rendering of its original title.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 1, 2026, 1:02 a.m.