Triple
T29389849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Server Message Block printing |
E745344
|
entity |
| Predicate | exampleUNC |
P169679
|
FINISHED |
| Object | \\printserver\printername |
—
|
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: \\printserver\printername | Statement: [Server Message Block printing, exampleUNC, \\printserver\printername]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleUNC Context triple: [Server Message Block printing, exampleUNC, \\printserver\printername]
-
A.
coreLocation
Indicates that one entity serves as the central or primary location associated with another entity.
-
B.
usesDirectory
Indicates that one entity makes use of or operates within a particular directory in a file system or organizational structure.
-
C.
mainLocation
Indicates that one entity serves as the primary or central location associated with another entity.
-
D.
officeRenamedFrom
Indicates that an office currently known by one name previously had a different name.
-
E.
domainComponent
Indicates that one entity is a constituent or functional part of a larger domain or system represented by another entity.
- 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_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 28, 2026, 2:41 p.m.