Triple
T21145323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobayashi metric |
E521038
|
entity |
| Predicate | mayFailToSeparatePoints |
P77814
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kobayashi metric, mayFailToSeparatePoints, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayFailToSeparatePoints Context triple: [Kobayashi metric, mayFailToSeparatePoints, true]
-
A.
separatesPointsOn
Indicates that one entity divides or partitions a set or space such that distinct points lie on different sides or regions relative to it.
-
B.
separatesNear
Indicates that one entity divides or partitions another entity or space while remaining in close proximity to it.
-
C.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
D.
failsToBeHausdorffIf
chosen
Indicates that a topological space is not Hausdorff whenever the specified condition holds.
-
E.
typeOfSeparation
Indicates the specific manner or category of separation that exists or occurred between entities.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fcdb7c8190ae04d6ad9dff3187 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:58 p.m.