Triple
T20027916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Forces Network |
E495035
|
entity |
| Predicate | regulatesContentWith |
P61102
|
FINISHED |
| Object | Department of Defense 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: Department of Defense policies | Statement: [American Forces Network, regulatesContentWith, Department of Defense policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesContentWith Context triple: [American Forces Network, regulatesContentWith, Department of Defense policies]
-
A.
regulatesContentBy
Indicates that one entity controls, directs, or sets rules for the nature, form, or distribution of another entity’s content.
-
B.
regulatesContentFor
chosen
Indicates that one entity controls, manages, or sets rules governing the content produced, shared, or accessed by another entity.
-
C.
regulatesWith
Indicates that one entity controls, modulates, or influences the activity, state, or behavior of another entity through some regulatory mechanism or interaction.
-
D.
contentRestriction
Indicates that access to or use of certain content is limited or controlled based on specified rules or conditions.
-
E.
regulatesUse
Indicates that one entity controls, governs, or sets rules for how another entity may be used.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628f67e081909b9e69dfbe2127ce |
completed | April 20, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:35 p.m.