Triple
T28505181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pluma |
E721347
|
entity |
| Predicate | supportsSessionManagement |
P202755
|
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: [Pluma, supportsSessionManagement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSessionManagement Context triple: [Pluma, supportsSessionManagement, true]
-
A.
supportsKeyManagement
Indicates that one entity provides functionality or capability to handle, store, or control cryptographic keys for another entity or process.
-
B.
supportsHostManagement
Indicates that an entity provides functionality to manage, configure, or control a host system or environment.
-
C.
hasSession
Indicates that an entity is associated with, participates in, or contains a particular session instance.
-
D.
supportsCertificateManagement
Indicates that one entity provides functionality or services to manage digital certificates for another entity.
-
E.
sessionability
Indicates the degree to which something is suitable or effective for use within a session-based context (such as a user session, work session, or interaction period).
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a00b6199c348190b1e90375f737d026 |
completed | May 10, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_6a00b5169a7881909a07167c4188731f |
completed | May 10, 2026, 4:40 p.m. |
| PDg | Predicate description generation | batch_6a00b618cb10819095ccef12d8e303c5 |
completed | May 10, 2026, 4:45 p.m. |
Created at: April 28, 2026, 3:09 a.m.