Triple
T19086506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of the Kingdom of Saxony |
E467161
|
entity |
| Predicate | crancelinTincture |
P23236
|
FINISHED |
| Object | vert (green) |
—
|
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: vert (green) | Statement: [Coat of arms of the Kingdom of Saxony, crancelinTincture, vert (green)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crancelinTincture Context triple: [Coat of arms of the Kingdom of Saxony, crancelinTincture, vert (green)]
-
A.
chiefTincture
Indicates that one entity serves as the primary or dominant coloring or tonal quality in relation to another entity.
-
B.
tressureTincture
chosen
Indicates the color or pattern (tincture) applied specifically to a tressure in heraldic design.
-
C.
tinctureOfCross
Indicates that something is a tincture (heraldic color or pattern) specifically applied to a cross in a coat of arms or similar symbolic design.
-
D.
tinctureOfMace
Indicates that an entity is a medicinal or flavoring preparation made by extracting the active components of mace (the spice) into a solvent, typically alcohol.
-
E.
crownTincture
Indicates the heraldic color or pattern applied to a crown in a coat of arms.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e347ee288190a3e935ff89ca94aa |
completed | April 20, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.