Triple
T13927122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VA Southeast Network (VISN 7) |
E334889
|
entity |
| Predicate | networkNumber |
P57366
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [VA Southeast Network (VISN 7), networkNumber, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkNumber Context triple: [VA Southeast Network (VISN 7), networkNumber, 7]
-
A.
networkNumberSize
Indicates the size or magnitude associated with a network’s identifying number or address range.
-
B.
networkCode
chosen
Indicates that an entity is associated with, identified by, or operates under a specific network code within a communication or organizational network.
-
C.
networkType
Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
-
D.
networkLength
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
E.
networkLevel
Indicates the hierarchical position or tier an entity occupies within a network structure.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa7e9248190b0523415b9224e2f |
completed | April 14, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.