Triple
T1390510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surreal numbers |
E29943
|
entity |
| Predicate | isModelOf |
P28233
|
FINISHED |
| Object | ordered field axioms |
—
|
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: ordered field axioms | Statement: [Surreal numbers, isModelOf, ordered field axioms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isModelOf Context triple: [Surreal numbers, isModelOf, ordered field axioms]
-
A.
isBackboneOf
Indicates that one entity forms the main supporting structure or central framework upon which another entity fundamentally depends.
-
B.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
C.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
D.
isVersionOf
Indicates that one entity is a particular version, edition, or variant derived from another entity.
-
E.
isAbstractVersionOf
Indicates that one entity represents a conceptual, generalized, or non-concrete version of another, more specific or concrete entity.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c35e023c8190b45688796d90534b |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4beffcf808190ab4cd0271257ce63 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c2f16ae081908c92792253f3eb4b |
completed | March 1, 2026, 10:51 p.m. |
Created at: March 1, 2026, 7:59 p.m.