Triple
T18563731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musical Symbols |
E453708
|
entity |
| Predicate | requiresEncodingForm |
P66343
|
FINISHED |
| Object | UTF-16 surrogate pairs |
—
|
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: UTF-16 surrogate pairs | Statement: [Musical Symbols, requiresEncodingForm, UTF-16 surrogate pairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresEncodingForm Context triple: [Musical Symbols, requiresEncodingForm, UTF-16 surrogate pairs]
-
A.
encodingForm
chosen
Indicates the specific format or scheme used to encode information or data in a representation or communication.
-
B.
requestEncoding
Indicates that one entity asks another to use or provide a specific encoding format for data or communication.
-
C.
requiresEncryption
Indicates that one entity must use encryption when communicating with, storing data for, or otherwise interacting with another entity.
-
D.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
E.
encodedIn
Indicates that one entity is represented, stored, or expressed within another entity using a specific encoding or format.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afc57448190abd90167d7e12a18 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:42 a.m.