Triple
T20890432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zweibund |
E514393
|
entity |
| Predicate | obligatedNeutralityIfAttackedBy |
P66113
|
FINISHED |
| Object | other powers not including Russia |
—
|
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: other powers not including Russia | Statement: [Zweibund, obligatedNeutralityIfAttackedBy, other powers not including Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: obligatedNeutralityIfAttackedBy Context triple: [Zweibund, obligatedNeutralityIfAttackedBy, other powers not including Russia]
-
A.
guaranteedNeutralityOf
chosen
Indicates that one entity ensures and commits to maintaining impartiality or non-involvement of another entity in a given context or interaction.
-
B.
forceAttacked
Indicates that one entity carried out an attack against another entity using force or coercive power.
-
C.
neutralAttackFeature
Indicates that an entity has the capability to perform an attack that is neutral, i.e., not aligned with any particular side, type, or affinity.
-
D.
requiresForDefense
Indicates that one entity must have or obtain another entity as a necessary condition to provide or maintain defense.
-
E.
builtToDefendAgainst
Indicates that something was constructed or designed specifically for the purpose of protecting against or countering a particular threat, entity, or type of attack.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05d591481908c9c999db76760fc |
completed | April 21, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.