Triple
T5446359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carathéodory metric |
E122257
|
entity |
| Predicate | lessThanOrEqualTo |
P64354
|
FINISHED |
| Object | Kobayashi metric |
—
|
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: Kobayashi metric | Statement: [Carathéodory metric, lessThanOrEqualTo, Kobayashi metric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lessThanOrEqualTo Context triple: [Carathéodory metric, lessThanOrEqualTo, Kobayashi metric]
-
A.
lessExclusiveThan
Indicates that one entity has a broader or more inclusive scope, membership, or applicability than another, which is more exclusive.
-
B.
smallerThan
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
C.
meetsAtLeast
Indicates that one entity encounters or comes into contact with another entity at least a specified minimum number of times or to a minimum required degree.
-
D.
isUpperBoundFor
Indicates that one value is greater than or equal to every element in a given set or collection, serving as an upper limit for them.
-
E.
lowerValueIndicates
Indicates that a smaller numerical value of a property or measurement corresponds to a greater degree, better outcome, or stronger presence of the relevant characteristic.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd95bd53f48190a03144beb290f2cb |
completed | March 20, 2026, 6:45 p.m. |
Created at: March 20, 2026, 2:07 p.m.