Triple
T28107065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungarian-Slovak |
E710392
|
entity |
| Predicate | hasComponentCulture |
P1439
|
FINISHED |
| Object | Hungarian culture |
—
|
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: Hungarian culture | Statement: [Hungarian-Slovak, hasComponentCulture, Hungarian culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentCulture Context triple: [Hungarian-Slovak, hasComponentCulture, Hungarian culture]
-
A.
hasCustomizationCulture
Indicates that one entity fosters or embodies a culture, practice, or norm of customizing or tailoring products, services, or experiences for another entity.
-
B.
hasTranslationComponent
Indicates that one entity includes or is associated with a component responsible for translating or converting content from one form or language to another.
-
C.
hasCulturalDimensionWith
Indicates that one entity possesses or is associated with a particular cultural dimension in relation to another entity.
-
D.
hasAssociatedCulture
chosen
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
-
E.
hasComponentForm
Indicates that one entity exists as a structural or compositional form or variant of another 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: April 27, 2026, 9:09 p.m.