Triple
T6908897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zariski topology |
E159881
|
entity |
| Predicate | closedSetsCorrespondTo |
P48728
|
FINISHED |
| Object | solution sets of polynomial equations |
—
|
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: solution sets of polynomial equations | Statement: [Zariski topology, closedSetsCorrespondTo, solution sets of polynomial equations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedSetsCorrespondTo Context triple: [Zariski topology, closedSetsCorrespondTo, solution sets of polynomial equations]
-
A.
sets
Indicates that an entity places, positions, or puts another entity into a particular state, location, or configuration.
-
B.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, or context.
-
C.
canonicalSetIncludes
Indicates that a canonical or standard set contains the referenced element as one of its members.
-
D.
viewOnSets
Indicates a relationship where one entity holds or defines a particular perspective, interpretation, or stance regarding sets or set-theoretic structures.
-
E.
typeOfSets
chosen
Indicates that one entity specifies or classifies the kind or category of sets to which another entity belongs.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9be98748190b5cb698e66e3aa42 |
completed | March 27, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.