Triple
T10434839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Lithuania |
E246010
|
entity |
| Predicate | knightTincture |
P93569
|
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 Lithuania, knightTincture, argent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knightTincture Context triple: [Coat of arms of Lithuania, knightTincture, argent]
-
A.
lastKnightAppointed
Indicates that a particular knight is the most recently appointed knight in a given context or order.
-
B.
knighthoodStatus
Indicates whether an entity currently holds, has held, or has been granted a formal knighthood or equivalent honorific status.
-
C.
tinctureOfLion
Indicates a relationship where something is a medicinal or alchemical preparation (a “tincture”) derived from or associated with a lion.
-
D.
shieldTincture
Indicates the heraldic color, pattern, or material applied to the surface of a shield.
-
E.
knightingLocation
Indicates the place where a knighting ceremony or act of conferring knighthood occurs.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea67344c81909984ab99b0ef1e64 |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfbc546881908f312c66ee195f79 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91de3088190ae89cbb12fb29db8 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:14 p.m.