Triple
T36714333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Asia strategy of the United States |
E906875
|
entity |
| Predicate | hasKeyActors |
P30416
|
FINISHED |
| Object | United States Department of State |
—
|
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: United States Department of State | Statement: [Central Asia strategy of the United States, hasKeyActors, United States Department of State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyActors Context triple: [Central Asia strategy of the United States, hasKeyActors, United States Department of State]
-
A.
hasKeyActor
chosen
Indicates that an entity plays a primary or central role (a key actor) in relation to another entity or context.
-
B.
hasKeyAct
Indicates that one entity possesses or is associated with a primary or central action related to another entity.
-
C.
identifiesKeyActor
Indicates that an entity is recognized as a primary or central participant responsible for a particular action, event, or outcome.
-
D.
hasKeyActivity
Indicates that an entity is associated with or performs a primary or central activity.
-
E.
hasActs
Indicates that an entity is associated with one or more actions, performances, or deeds it carries out or is responsible for.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 3, 2026, 4:12 p.m.