Triple
T7600735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauli matrices |
E179974
|
entity |
| Predicate | traceProperty |
P78114
|
FINISHED |
| Object | Tr(σ_i) = 0 |
—
|
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: Tr(σ_i) = 0 | Statement: [Pauli matrices, traceProperty, Tr(σ_i) = 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traceProperty Context triple: [Pauli matrices, traceProperty, Tr(σ_i) = 0]
-
A.
traceOf
Indicates that one entity is a remaining sign, mark, or residual evidence of the presence, existence, or action of another entity.
-
B.
traceWithRespectTo
Indicates that one entity records, follows, or monitors the behavior, changes, or effects of another entity relative to a specified reference or context.
-
C.
traceRelation
Indicates a connection between entities where one serves as a trace, record, or evidential link revealing the existence, behavior, or influence of the other.
-
D.
trackingType
Indicates the method or category by which an entity’s movement, status, or progress is monitored or recorded.
-
E.
tracesTo
Indicates a relationship where one item can be followed or linked back as the origin, source, or cause of another.
- F. None of above. chosen
Provenance (4 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d9c55c8190841f3bf3225c096a |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:53 p.m.