Triple
T1601702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A4AI |
E34406
|
entity |
| Predicate | seeksToInfluence |
P30639
|
FINISHED |
| Object | national broadband policies |
—
|
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: national broadband policies | Statement: [A4AI, seeksToInfluence, national broadband policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeksToInfluence Context triple: [A4AI, seeksToInfluence, national broadband policies]
-
A.
politicalInfluenceIn
Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
-
B.
politicalInfluencePeak
Indicates the time or context in which an entity’s political influence reaches its highest level or greatest impact.
-
C.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
D.
ideologicalInfluence
Indicates that one entity’s beliefs, values, or doctrines shape, guide, or significantly affect the ideology of another entity.
-
E.
influencedDiscussionOf
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a95aada3f881909053363c01de8b57 |
completed | March 5, 2026, 10:29 a.m. |
Created at: March 4, 2026, 7:28 p.m.