Triple
T8211383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grizzly Peak mountain icon |
E191823
|
entity |
| Predicate | thematicCenterpieceOf |
P39719
|
FINISHED |
| Object | Grizzly Peak area |
—
|
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: Grizzly Peak area | Statement: [Grizzly Peak mountain icon, thematicCenterpieceOf, Grizzly Peak area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thematicCenterpieceOf Context triple: [Grizzly Peak mountain icon, thematicCenterpieceOf, Grizzly Peak area]
-
A.
visualCenterpiece
Indicates that one entity serves as the primary visual focus or dominant visual element in relation to another entity.
-
B.
thematicMaterial
chosen
Indicates that one entity serves as the primary recurring idea, motif, or thematic content that is developed or referenced by another entity.
-
C.
throneDecoration
Indicates that one entity serves as a decorative element or ornamentation for a throne associated with another entity.
-
D.
decorativeCategory
Indicates that one entity is classified as belonging to a particular decorative style, theme, or ornamentation category of another entity.
-
E.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76dec42c819090252fe186a68d34 |
completed | March 31, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:44 p.m.