Triple
T29468671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jāņi |
E747449
|
entity |
| Predicate | hasTraditionalDecoration |
P38145
|
FINISHED |
| Object | oak wreaths |
—
|
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: oak wreaths | Statement: [Jāņi, hasTraditionalDecoration, oak wreaths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalDecoration Context triple: [Jāņi, hasTraditionalDecoration, oak wreaths]
-
A.
usesTraditionalDecoration
Indicates that an entity employs customary or historically established decorative styles or motifs in its design or presentation.
-
B.
hasTraditionalCharm
Indicates that something possesses a classic, old-fashioned, or culturally rooted appeal that evokes nostalgia or heritage.
-
C.
hasTraditionalSymbol
Indicates that something is associated with or represented by a conventional or culturally established symbol.
-
D.
hasTraditionalColors
Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
-
E.
hasDecor
chosen
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 28, 2026, 3:55 p.m.