Triple
T34161731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odin’s throne room |
E876293
|
entity |
| Predicate | mythologicalTraditionRegion |
P109542
|
FINISHED |
| Object | Scandinavia |
—
|
NE NERFINISHED |
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: Scandinavia | Statement: [Odin’s throne room, mythologicalTraditionRegion, Scandinavia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mythologicalTraditionRegion Context triple: [Odin’s throne room, mythologicalTraditionRegion, Scandinavia]
-
A.
mythologicalContent
Indicates that the subject contains, references, or is associated with myths, mythological narratives, or myth-based elements.
-
B.
culturalRegionOfLore
chosen
Indicates that a particular cultural region is the primary setting, origin, or contextual background for a given body of lore or tradition.
-
C.
mythologicalCategory
Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
-
D.
mythologicalTextMention
Indicates that a mythological text mentions, references, or otherwise explicitly refers to a given entity or concept.
-
E.
mythologicalSetting
Indicates that an entity is set within, associated with, or takes place in a mythological or legendary context.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fdedf708190ab68c2d567e086d0 |
completed | May 3, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.