Triple
T24810952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jones calculus |
E620785
|
entity |
| Predicate | representsPolarizationStateAs |
P115778
|
FINISHED |
| Object | Jones vector |
—
|
NE NERFINISHED |
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: Jones vector | Statement: [Jones calculus, representsPolarizationStateAs, Jones vector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsPolarizationStateAs Context triple: [Jones calculus, representsPolarizationStateAs, Jones vector]
-
A.
polarizationModes
Indicates the specific polarization states or configurations associated with a signal, wave, or optical/electromagnetic system.
-
B.
isPolar
Indicates that something possesses a separation of electric charge resulting in distinct positive and negative regions (i.e., has polarity).
-
C.
representsStateIn
chosen
Indicates that one entity serves as a representative or embodiment of a particular state, condition, or status of another entity.
-
D.
namedForStateRepresentation
Indicates that something is named in reference to a specific state’s political or governmental representation.
-
E.
polarAngleRepresents
Indicates that a given value expresses the polar angle (angular position) of an entity within a specified coordinate or reference system.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 4:50 a.m.