Triple
T29389824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Server Message Block printing |
E745344
|
entity |
| Predicate | legacyPort |
P166720
|
FINISHED |
| Object | 139 |
—
|
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: 139 | Statement: [Server Message Block printing, legacyPort, 139]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legacyPort Context triple: [Server Message Block printing, legacyPort, 139]
-
A.
portAlsoKnownAs
Indicates that a port is referred to by an alternative name or alias.
-
B.
secondaryPort
Indicates that an entity serves as an additional or backup port associated with another primary port or connection.
-
C.
port
Indicates a relationship where one entity serves as a harbor, access point, or interface through which another entity can enter, exit, or connect.
-
D.
legacyProject
Indicates that a project originates from an earlier phase, system, or generation and is being maintained or carried forward into the current context.
-
E.
supportsPort
Indicates that one entity is capable of handling, providing, or being compatible with a specified port or port configuration.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669d578608190962d35116a01420c |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:41 p.m.