Triple
T1040509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulgarian Sign Language (written form) |
E22458
|
entity |
| Predicate | representationModality |
P21655
|
FINISHED |
| Object | graphic |
—
|
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: graphic | Statement: [Bulgarian Sign Language (written form), representationModality, graphic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationModality Context triple: [Bulgarian Sign Language (written form), representationModality, graphic]
-
A.
representationType
chosen
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
B.
representation
Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
-
C.
representationLevel
Indicates the degree or layer at which something stands in for, models, or symbolizes something else (e.g., more concrete vs. more abstract representation).
-
D.
movementRepresentedBy
Indicates that a movement or motion of an entity is depicted, encoded, or symbolized by another entity (such as a sign, pattern, or representation).
-
E.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b845fa8c8190a7b69629883b62e2 |
completed | March 1, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.