Triple
T8380239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MassMessage |
E197668
|
entity |
| Predicate | supportsNamespace |
P203
|
FINISHED |
| Object | User talk namespace |
—
|
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: User talk namespace | Statement: [MassMessage, supportsNamespace, User talk namespace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsNamespace Context triple: [MassMessage, supportsNamespace, User talk namespace]
-
A.
hasNamespace
Indicates that one entity is associated with, defined within, or belongs to a particular namespace context provided by another entity.
-
B.
namedSpace
Indicates that an entity has been assigned or is associated with a specific name within a particular namespace or naming context.
-
C.
hasSubNamespace
Indicates that one namespace is a direct subordinate or contained namespace within another namespace.
-
D.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
E.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c57080819097eef2b7e46eaaee |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:02 p.m.