Triple
T33329747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese heraldry |
E853369
|
entity |
| Predicate | usesTincture |
P188809
|
FINISHED |
| Object | gules |
—
|
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: gules | Statement: [Portuguese heraldry, usesTincture, gules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTincture Context triple: [Portuguese heraldry, usesTincture, gules]
-
A.
armedTincture
Indicates that a creature or figure in heraldry is depicted with its claws, talons, or similar natural weapons shown in a specified tincture (color).
-
B.
tinctureOrdinary
Indicates that an ordinary (a basic heraldic shape or charge) is depicted with a specific tincture (color, metal, or fur) in a coat of arms.
-
C.
tinctureOfPale
Indicates that one entity is a tincture (medicinal or alcoholic extract) derived from or characterized by the pale aspect, quality, or component of another entity.
-
D.
typicalTincture
Indicates that something has the usual or standard tincture (coloring or hue) typically associated with it.
-
E.
tinctureOfKey
Indicates that one entity is a tincture (medicinal or alcoholic extract) derived from, containing, or primarily based on another entity designated as the key ingredient.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: May 1, 2026, 1:34 a.m.