Triple
T7705109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolmogorov distance |
E174592
|
entity |
| Predicate | metricProperty |
P73737
|
FINISHED |
| Object | non-negativity |
—
|
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: non-negativity | Statement: [Kolmogorov distance, metricProperty, non-negativity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metricProperty Context triple: [Kolmogorov distance, metricProperty, non-negativity]
-
A.
metricSpaceProperty
chosen
Indicates that a specified property or condition holds for a metric space, characterizing how its distance structure behaves.
-
B.
metricType
Indicates the specific category or kind of measurement that a given metric represents.
-
C.
measuredProperty
Indicates that the subject is a measurement that quantifies or assesses the specified property of an entity.
-
D.
metaProperty
Indicates that one property functions as a higher-level descriptor or attribute about another property, rather than about an entity directly.
-
E.
metricComponent
Indicates a relationship where one element functions as a component or constituent part of a larger metric.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.