Triple
T29304968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AppleTalk addressing |
E743066
|
entity |
| Predicate | supportsServiceIdentificationVia |
P204074
|
FINISHED |
| Object | DDP sockets |
—
|
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: DDP sockets | Statement: [AppleTalk addressing, supportsServiceIdentificationVia, DDP sockets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsServiceIdentificationVia Context triple: [AppleTalk addressing, supportsServiceIdentificationVia, DDP sockets]
-
A.
supportsIdentity
Indicates that one entity upholds, validates, or reinforces the identity, self-concept, or role of another entity.
-
B.
serviceRecognizedAs
Indicates that a particular service is acknowledged or accepted as having a specified status, role, or designation.
-
C.
supportsUserServices
Indicates that one entity provides the necessary functionality or resources for user-facing services to operate or be delivered.
-
D.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
E.
supportsImplementationOf
Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
- 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a0317eaf4e88190a6f6419cb4ef7547 |
completed | May 12, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_6a03179da394819095e3d346c3785d74 |
completed | May 12, 2026, 12:05 p.m. |
| PDg | Predicate description generation | batch_6a0317ea3bc08190ac39ccd6b46da625 |
completed | May 12, 2026, 12:07 p.m. |
Created at: April 28, 2026, 1:12 p.m.