Triple
T35298756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleverbot |
E1019447
|
entity |
| Predicate | hasMobileAppVersion |
P11583
|
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: [Cleverbot, hasMobileAppVersion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMobileAppVersion Context triple: [Cleverbot, hasMobileAppVersion, true]
-
A.
hasApp
Indicates that an entity possesses, provides, or is associated with a particular application.
-
B.
hasMobileKey
Indicates that an entity possesses or is associated with a mobile-based digital key used for access or authentication.
-
C.
hasVersionNumber
chosen
Indicates that an entity is associated with a specific version identifier or number.
-
D.
isMobile
Indicates that an entity is capable of moving or being moved freely rather than remaining fixed in one place.
-
E.
hasVersionIn
Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
- 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_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: May 3, 2026, 4:03 p.m.