Triple
T24633499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Team of the Year award |
E609741
|
entity |
| Predicate | languageOfPublicationOfPresenter |
P3681
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [National Team of the Year award, languageOfPublicationOfPresenter, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPublicationOfPresenter Context triple: [National Team of the Year award, languageOfPublicationOfPresenter, French]
-
A.
presenterOccupation
Indicates that an entity serves in a specific professional role or job as a presenter.
-
B.
presentedInLanguage
chosen
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
C.
languageOfOrganizer
Indicates the language used by the organizer in conducting or presenting the associated event or activity.
-
D.
speechPublishedBy
Indicates that a given speech has been issued or made publicly available by a particular publisher or publishing entity.
-
E.
mediaTypeOfPresenter
Indicates the type or format of media associated with a given presenter.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.