Triple
T6929739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | continuum hypothesis |
E160402
|
entity |
| Predicate | involvesSet |
P1256
|
FINISHED |
| Object | set of natural numbers ℕ |
—
|
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: set of natural numbers ℕ | Statement: [continuum hypothesis, involvesSet, set of natural numbers ℕ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesSet Context triple: [continuum hypothesis, involvesSet, set of natural numbers ℕ]
-
A.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, or context.
-
B.
involves
chosen
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
C.
sharesSetsWith
Indicates that two entities have one or more sets in common, or participate in at least one identical set.
-
D.
sets
Indicates that an entity places, positions, or puts another entity into a particular state, location, or configuration.
-
E.
set
Indicates that an entity places, positions, or establishes another entity into a particular state, configuration, or location.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1f5fcc8190b43f53f90fc1821c |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:27 p.m.