Triple
T2081615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faddeev’s axioms |
E45254
|
entity |
| Predicate | typeOfCondition |
P35662
|
FINISHED |
| Object | axiomatic characterization |
—
|
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: axiomatic characterization | Statement: [Faddeev’s axioms, typeOfCondition, axiomatic characterization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCondition Context triple: [Faddeev’s axioms, typeOfCondition, axiomatic characterization]
-
A.
typeOfRule
Indicates that one rule is classified as a specific kind or category of another, more general rule.
-
B.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
C.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
D.
typeOfState
Indicates that one state is a specific kind or category of another, more general state.
-
E.
typeOfControl
Indicates the specific manner or mechanism by which one entity exercises control or influence over another.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba35c2588190933dba882f52dd17 |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:41 p.m.