Triple
T36467644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wigner semicircle law |
E898462
|
entity |
| Predicate | concernsObject |
P74561
|
FINISHED |
| Object | Wigner matrices |
—
|
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: Wigner matrices | Statement: [Wigner semicircle law, concernsObject, Wigner matrices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsObject Context triple: [Wigner semicircle law, concernsObject, Wigner matrices]
-
A.
subjectOfConcernFor
Indicates that one entity is regarded as a matter of worry, interest, or attention for another entity.
-
B.
concernsEntity
Indicates that something (such as an action, issue, or piece of information) is about or relevant to a particular entity.
-
C.
concernsClass
Indicates that something is related or pertains specifically to a particular class or category.
-
D.
concernsSet
chosen
Indicates that something is about, relates to, or involves a particular set as its primary subject or focus.
-
E.
concernsView
Indicates that one entity is about, relates to, or is focused on a particular view, perspective, or way of seeing something.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.