Triple
T36175841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linguistic Justice for Europe and for the World |
E1046571
|
entity |
| Predicate | influencedDiscussionIn |
P9239
|
FINISHED |
| Object | debates on EU language policy |
—
|
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: debates on EU language policy | Statement: [Linguistic Justice for Europe and for the World, influencedDiscussionIn, debates on EU language policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedDiscussionIn Context triple: [Linguistic Justice for Europe and for the World, influencedDiscussionIn, debates on EU language policy]
-
A.
influencedDiscussionOf
chosen
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
B.
influenceOf
Indicates that one entity affects, shapes, or alters the state, behavior, or properties of another entity.
-
C.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
D.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
E.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 3, 2026, 4:08 p.m.