Triple
T456364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoxhaism |
E7239
|
entity |
| Predicate | geopoliticalStance |
P6675
|
FINISHED |
| Object | non-alignment with both US and USSR blocs |
—
|
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: non-alignment with both US and USSR blocs | Statement: [Hoxhaism, geopoliticalStance, non-alignment with both US and USSR blocs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geopoliticalStance Context triple: [Hoxhaism, geopoliticalStance, non-alignment with both US and USSR blocs]
-
A.
geopoliticalSignificance
Indicates the importance or influence that a place, event, or relationship holds within regional or global political and strategic power dynamics.
-
B.
geopoliticalScope
Indicates the geographic or political area within which an entity’s authority, relevance, or effect is defined or applies.
-
C.
geopoliticalRole
chosen
Indicates the specific political or strategic function, status, or position an entity holds within or among geopolitical units such as states, regions, or international organizations.
-
D.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
E.
editorialStance
Indicates the position, viewpoint, or bias an editor or publication adopts toward a subject, issue, or entity.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa1616481909399f92551a0c9e3 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede614b88190be07425f5535f56d |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.