Triple
T26212593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen 3 |
E655526
|
entity |
| Predicate | socketSupport |
P97615
|
FINISHED |
| Object | SP3 |
—
|
NE NERFINISHED |
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: SP3 | Statement: [Zen 3, socketSupport, SP3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socketSupport Context triple: [Zen 3, socketSupport, SP3]
-
A.
socket
Indicates that one entity serves as a socket or receptacle into which another entity is designed to fit or connect.
-
B.
supportsPort
chosen
Indicates that one entity is capable of handling, providing, or being compatible with a specified port or port configuration.
-
C.
supportedProtocol
Indicates that one entity is compatible with, implements, or can operate using a specified communication or interaction protocol.
-
D.
supportsTerminalConnections
Indicates that one entity is capable of handling or enabling direct connections to terminal interfaces or endpoints.
-
E.
supportsChannels
Indicates that one entity is capable of handling, providing, or being compatible with one or more specified channels for communication, distribution, or operation.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 8:53 p.m.