Triple
T2912370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abel–Ruffini theorem |
E63710
|
entity |
| Predicate | logicalType |
P42881
|
FINISHED |
| Object | impossibility theorem |
—
|
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: impossibility theorem | Statement: [Abel–Ruffini theorem, logicalType, impossibility theorem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalType Context triple: [Abel–Ruffini theorem, logicalType, impossibility theorem]
-
A.
semanticType
Indicates that something belongs to or is categorized under a particular semantic class or type based on its meaning.
-
B.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
C.
logicalTrait
Indicates that an entity possesses a characteristic, behavior, or quality related to logical reasoning or structured thinking.
-
D.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
E.
dataTypes
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0eb77708190b745b887f3b9a618 |
completed | March 7, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:11 p.m.