Triple
T35298759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleverbot |
E1019447
|
entity |
| Predicate | hasLoggingPolicy |
P128532
|
FINISHED |
| Object | stores user conversations for learning |
—
|
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: stores user conversations for learning | Statement: [Cleverbot, hasLoggingPolicy, stores user conversations for learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoggingPolicy Context triple: [Cleverbot, hasLoggingPolicy, stores user conversations for learning]
-
A.
loggingPolicy
chosen
Indicates the rules or configuration that govern how events, actions, or data are recorded and stored in logs.
-
B.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
C.
hasPolicySupport
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
-
D.
hasKeyPolicy
Indicates that an entity is associated with a specific key management or access control policy governing how its keys may be used or managed.
-
E.
hasPolicyDocument
Indicates that an entity is associated with or governed by a specific policy document.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: May 3, 2026, 4:03 p.m.