Triple
T9406281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tamga |
E226595
|
entity |
| Predicate | hasVisualForm |
P11599
|
FINISHED |
| Object | abstract sign |
—
|
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: abstract sign | Statement: [tamga, hasVisualForm, abstract sign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualForm Context triple: [tamga, hasVisualForm, abstract sign]
-
A.
visualForm
chosen
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
B.
hasSurfaceForm
Indicates that an abstract concept, entity, or linguistic unit is realized or expressed in a specific textual or lexical form.
-
C.
visualizedIn
Indicates that something is represented or depicted within a particular visual medium, view, or visualization.
-
D.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
E.
hasVisualIndicator
Indicates that an entity is associated with some form of visual cue or marker that signals its status, condition, or presence.
- 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.