Triple
T9406246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | taraq tamga |
E226594
|
entity |
| Predicate | visualCategory |
P58468
|
FINISHED |
| Object | heraldic charge |
—
|
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: heraldic charge | Statement: [taraq tamga, visualCategory, heraldic charge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualCategory Context triple: [taraq tamga, visualCategory, heraldic charge]
-
A.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
B.
categoryLabel_N
Indicates that an entity is assigned a specific categorical label or classification name.
-
C.
designCategory
chosen
Indicates that one entity is classified under a particular design-related category or type.
-
D.
categoryLabel_A
Indicates that an entity is assigned to or associated with a specific category label A.
-
E.
observationalCategory
Indicates that one entity classifies or groups another entity based on the type or category of observation it represents.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c2b9bc81909a4ce91792294d1c |
completed | April 1, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:47 p.m.