Triple
T2192576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Groningen (province) |
E49895
|
entity |
| Predicate | fieldForEagleTincture |
P23234
|
FINISHED |
| Object | argent |
—
|
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: argent | Statement: [Coat of arms of Groningen (province), fieldForEagleTincture, argent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldForEagleTincture Context triple: [Coat of arms of Groningen (province), fieldForEagleTincture, argent]
-
A.
fieldTincture
chosen
Indicates the heraldic tincture (color, metal, or fur) applied to the main background field of a coat of arms.
-
B.
tinctureOfField
Indicates that one entity is a tincture (medicinal extract or solution) derived from, based on, or primarily composed of another entity representing a field or source material.
-
C.
featuresTincture
Indicates that something displays or bears a particular tincture (heraldic color, metal, or pattern) as one of its visual characteristics.
-
D.
chiefTincture
Indicates that one entity serves as the primary or dominant coloring or tonal quality in relation to another entity.
-
E.
axeBladeTincture
Indicates that the blade of an axe is assigned a specific heraldic tincture (color or pattern).
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf48ceb48190956df39377df0548 |
completed | March 7, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.