Triple
T17388288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsesarevich-class battleship |
E422744
|
entity |
| Predicate | designInfluenceFrom |
P44042
|
FINISHED |
| Object | French battleship design practices |
—
|
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: French battleship design practices | Statement: [Tsesarevich-class battleship, designInfluenceFrom, French battleship design practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designInfluenceFrom Context triple: [Tsesarevich-class battleship, designInfluenceFrom, French battleship design practices]
-
A.
designInfluenceOn
chosen
Indicates that one design, designer, or design-related factor has an effect on shaping, guiding, or altering another design or design outcome.
-
B.
creativeInfluence
Indicates that one entity has shaped, inspired, or informed the creative work, style, or ideas of another entity.
-
C.
architecturalInfluence
Indicates that one architectural style, structure, or designer has had a formative impact on the design, style, or features of another.
-
D.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
E.
influencedFashionTrend
Indicates that one entity caused or contributed to a change or direction in another entity’s fashion style or prevailing clothing trends.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8b66288190b29bb82eff761902 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.