Triple
T33761749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skolem arithmetic |
E865123
|
entity |
| Predicate | studiesStructure |
P97030
|
FINISHED |
| Object | (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: (ℕ, ×) | Statement: [Skolem arithmetic, studiesStructure, (ℕ, ×)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesStructure Context triple: [Skolem arithmetic, studiesStructure, (ℕ, ×)]
-
A.
exploresStructureOf
chosen
Indicates a relationship where one entity investigates, analyzes, or examines the organization, composition, or arrangement of another entity.
-
B.
subjectStructure
Indicates that one entity serves as the structural form, framework, or configuration in which the other entity is organized or embodied.
-
C.
studiesConcept
Indicates that an entity engages in learning, examining, or researching a particular concept.
-
D.
studiesFeature
Indicates that an entity conducts research or examination on a particular feature or characteristic of something.
-
E.
alsoStudies
Indicates that an entity engages in studying an additional subject or field alongside another already being studied.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.