Triple
T5688258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Estonia |
E125364
|
entity |
| Predicate | tinctureOfLions |
P23235
|
FINISHED |
| Object | Azure |
—
|
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: Azure | Statement: [Coat of arms of Estonia, tinctureOfLions, Azure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tinctureOfLions Context triple: [Coat of arms of Estonia, tinctureOfLions, Azure]
-
A.
tinctureOfLion
Indicates a relationship where something is a medicinal or alchemical preparation (a “tincture”) derived from or associated with a lion.
-
B.
lionTincture
chosen
Indicates a heraldic relationship where a lion is depicted in a specific color or pattern (tincture) on a coat of arms or shield.
-
C.
tressureTincture
Indicates the color or pattern (tincture) applied specifically to a tressure in heraldic design.
-
D.
tinctureOfTongueAndClaws
Indicates a condition or effect in which both speech (tongue) and physical attacks (claws) are imbued with a special, often magical or poisonous, potency.
-
E.
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.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.