Triple
T8454371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirac notation |
E199881
|
entity |
| Predicate | hasNotationConvention |
P3759
|
FINISHED |
| Object | bras written as row-like objects |
—
|
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: bras written as row-like objects | Statement: [Dirac notation, hasNotationConvention, bras written as row-like objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotationConvention Context triple: [Dirac notation, hasNotationConvention, bras written as row-like objects]
-
A.
hasAlternativeNotation
Indicates that an entity can be represented or written in a different, equivalent form or notation.
-
B.
hasObjectNotation
Indicates that an entity is represented or expressed using a specific object-based notation or symbolic format.
-
C.
hasSignConvention
Indicates that a particular system, quantity, or representation follows a specified rule for assigning positive and negative signs.
-
D.
distinguishingNotation
Indicates that one entity uses a specific notation or symbol to distinguish or differentiate another entity from similar ones.
-
E.
notationType
chosen
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48ca9988190b60ebd09a135194d |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:10 p.m.