Triple
T34156649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plancherel theorem for locally compact abelian groups |
E876155
|
entity |
| Predicate | domainSpace |
P178449
|
FINISHED |
| Object | L2(G) |
—
|
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: L2(G) | Statement: [Plancherel theorem for locally compact abelian groups, domainSpace, L2(G)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domainSpace Context triple: [Plancherel theorem for locally compact abelian groups, domainSpace, L2(G)]
-
A.
namedSpace
Indicates that an entity has been assigned or is associated with a specific name within a particular namespace or naming context.
-
B.
spaceDomain
Indicates that the relationship or activity occurs within, pertains to, or is governed by the space domain (outer space and related space operations).
-
C.
domainServed
Indicates that a particular domain or area is supported, covered, or provided for by a given entity or service.
-
D.
partOfDomain
Indicates that one entity belongs to, is included within, or is a constituent part of the scope or domain defined by another entity.
-
E.
domainOfq
Indicates that a given entity serves as the domain (set of permissible inputs or arguments) for the quantity or relation denoted by q.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:54 a.m.