Triple
T37665935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascade Kingdom |
E937818
|
entity |
| Predicate | hasRegionalCoinsShape |
P202317
|
FINISHED |
| Object | purple stone-shaped coins |
—
|
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: purple stone-shaped coins | Statement: [Cascade Kingdom, hasRegionalCoinsShape, purple stone-shaped coins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalCoinsShape Context triple: [Cascade Kingdom, hasRegionalCoinsShape, purple stone-shaped coins]
-
A.
regionalCoinShape
chosen
Indicates that the coin has a shape characteristic of or specific to a particular geographic region.
-
B.
hasRegionalStone
Indicates that something possesses or is associated with a characteristic stone specific to a particular region.
-
C.
regionShaped
Indicates that one region determines or influences the shape or form of another region.
-
D.
hasCoins
Indicates that an entity possesses or holds one or more coins.
-
E.
hasBillShape
Indicates that one entity has a bill whose shape matches the specified form or category.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.