Triple
T11646470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Republic of Austria |
E276787
|
entity |
| Predicate | declaredNeutrality |
P36331
|
FINISHED |
| Object | 1955 |
—
|
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: 1955 | Statement: [Second Republic of Austria, declaredNeutrality, 1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: declaredNeutrality Context triple: [Second Republic of Austria, declaredNeutrality, 1955]
-
A.
guaranteedNeutralityOf
Indicates that one entity ensures and commits to maintaining impartiality or non-involvement of another entity in a given context or interaction.
-
B.
isNeutralAbout
Indicates that one entity has no strong positive or negative opinion, preference, or stance toward another entity or subject.
-
C.
declaredSolidarityWith
Indicates that one entity has publicly expressed support or unity with another entity, often in relation to a cause, struggle, or shared position.
-
D.
findingOnNeutrality
chosen
Indicates a formal determination or conclusion regarding the neutrality or non-alignment status of an entity in a given context.
-
E.
usesNeutral
Indicates that one entity employs or applies something in a neutral, unbiased, or non-aligned manner toward another entity or context.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cc8bfc8190a063cc37de9596a9 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.