Triple
T4277268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KMeans |
E97072
|
entity |
| Predicate | typicalInitialization |
P55162
|
FINISHED |
| Object | random selection of initial centroids |
—
|
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: random selection of initial centroids | Statement: [KMeans, typicalInitialization, random selection of initial centroids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInitialization Context triple: [KMeans, typicalInitialization, random selection of initial centroids]
-
A.
typicalSetup
Indicates that an entity is arranged, configured, or organized in its standard or commonly used setup relative to another entity or context.
-
B.
typicalRegister
Indicates the usual or most common linguistic register (e.g., formal, informal, technical) in which something—such as a word, expression, or communication—is typically used.
-
C.
typicalBase
Indicates that one entity serves as the standard or most representative base or foundation for another entity in typical or common cases.
-
D.
typicalSeed
Indicates that something is a usual or characteristic seed for a given plant or context.
-
E.
typicalEngine
Indicates that an entity is the standard or commonly used engine for another entity (such as a vehicle, device, or system).
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501ef1388190b0c968b069014a59 |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:07 p.m.