Triple
T28827531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of the House of Orléans |
E727952
|
entity |
| Predicate | labelTincture |
P23463
|
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: [Arms of the House of Orléans, labelTincture, argent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelTincture Context triple: [Arms of the House of Orléans, labelTincture, argent]
-
A.
fieldTincture
Indicates the heraldic tincture (color, metal, or fur) applied to the main background field of a coat of arms.
-
B.
featuresTincture
chosen
Indicates that something displays or bears a particular tincture (heraldic color, metal, or pattern) as one of its visual characteristics.
-
C.
typicalTincture
Indicates that something has the usual or standard tincture (coloring or hue) typically associated with it.
-
D.
tinctureRed
Indicates that an entity has a red-colored tincture (heraldic coloring) applied to it.
-
E.
tressureTincture
Indicates the color or pattern (tincture) applied specifically to a tressure in heraldic design.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65939b9c481909b9ca8035227862b |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:36 a.m.