Triple
T26085030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svetozar Boroević |
E657954
|
entity |
| Predicate | strategySpecialization |
P31887
|
FINISHED |
| Object | defensive warfare |
—
|
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: defensive warfare | Statement: [Svetozar Boroević, strategySpecialization, defensive warfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strategySpecialization Context triple: [Svetozar Boroević, strategySpecialization, defensive warfare]
-
A.
strategyType
chosen
Indicates the specific kind or category of strategy associated with an entity or action.
-
B.
strategyComponent
Indicates that one element functions as a constituent or building block within a broader strategy.
-
C.
labelSpecialization
Indicates that one label is a more specific or specialized version of another label within a labeling or classification system.
-
D.
positionSpecialization
Indicates that one position is a more specialized or focused variant of another, broader position.
-
E.
strategyEmphasis
Indicates an entity’s primary focus or priority within a broader strategy or plan.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 26, 2026, 7:42 p.m.