Triple
T14055627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flying Trunk |
E338211
|
entity |
| Predicate | hasThemeOrigin |
P93696
|
FINISHED |
| Object | Danish literature |
—
|
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: Danish literature | Statement: [The Flying Trunk, hasThemeOrigin, Danish literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThemeOrigin Context triple: [The Flying Trunk, hasThemeOrigin, Danish literature]
-
A.
hasThematicOrigin
chosen
Indicates that something originates from, or is thematically derived from, a particular source, subject, or theme.
-
B.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
C.
hasThemeConnection
Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
-
D.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
E.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.