Triple
T13798993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skibladner |
E331588
|
entity |
| Predicate | hasFigureheadOrSymbol |
P37076
|
FINISHED |
| Object | swan motif |
—
|
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: swan motif | Statement: [Skibladner, hasFigureheadOrSymbol, swan motif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFigureheadOrSymbol Context triple: [Skibladner, hasFigureheadOrSymbol, swan motif]
-
A.
hasIconographicFigure
chosen
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
-
B.
haveOfficialSymbols
Indicates that an entity possesses formally recognized symbols (such as flags, emblems, or insignia) that officially represent it.
-
C.
isFigureheadOf
Indicates that one entity serves as the nominal or symbolic leader of another entity, typically without holding real governing power or decision-making authority.
-
D.
hasTraditionalSymbol
Indicates that something is associated with or represented by a conventional or culturally established symbol.
-
E.
hasIconicCharacter
Indicates that something is associated with a character widely recognized as emblematic or highly representative of it.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.