Triple
T1149232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glicksberg fixed-point theorem |
E23636
|
entity |
| Predicate | assumptionOnSpace |
P7027
|
FINISHED |
| Object | locally convex topological vector space |
—
|
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: locally convex topological vector space | Statement: [Glicksberg fixed-point theorem, assumptionOnSpace, locally convex topological vector space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assumptionOnSpace Context triple: [Glicksberg fixed-point theorem, assumptionOnSpace, locally convex topological vector space]
-
A.
assumes
Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
-
B.
hasCentralSpace
Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
-
C.
occupancyRequirement
Indicates that a condition specifies how many or which entities must be present in or using a particular space or resource.
-
D.
openSpaceType
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
-
E.
typicalAssumption
chosen
Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bd0bed00819091d71983d787a030 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4ee3988190ac89c5ae5b10e316 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.