Triple
T31765615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Schleswig-Holstein |
E810799
|
entity |
| Predicate | nettleLeafColor |
P172279
|
FINISHED |
| Object | gold |
—
|
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: gold | Statement: [Coat of arms of Schleswig-Holstein, nettleLeafColor, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nettleLeafColor Context triple: [Coat of arms of Schleswig-Holstein, nettleLeafColor, gold]
-
A.
leafColor
Indicates the color or coloration characteristics of a leaf in relation to a plant or plant part.
-
B.
hasNettleLikeFeatures
Indicates that an entity possesses characteristics or traits similar to those of nettles.
-
C.
foliageCharacteristic
Indicates the specific traits or qualities of an entity’s foliage, such as its type, texture, color, or other distinguishing features.
-
D.
leafColorUnderside
Indicates the color present on the underside (lower surface) of a leaf.
-
E.
leafColorUpperSurface
Indicates the color exhibited on the upper surface of a leaf.
- F. None of above. chosen
Provenance (4 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaadc0c8190babed41feb5c15a6 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aac95c1481909fff33702d0a6c37 |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:32 p.m.