Triple
T9403357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H-root |
E226527
|
entity |
| Predicate | isSingleLogicalServerWithManyInstances |
P88030
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [H-root, isSingleLogicalServerWithManyInstances, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSingleLogicalServerWithManyInstances Context triple: [H-root, isSingleLogicalServerWithManyInstances, true]
-
A.
isSingleLogicalServer
chosen
Indicates that the referenced system or instance functions as a single, unified logical server, regardless of its underlying physical or distributed implementation.
-
B.
hasNumberOfLogicalServers
Indicates the quantity of logical servers associated with or contained within a given entity.
-
C.
hasMultiplePhysicalInstances
Indicates that a single conceptual entity is realized or exists as more than one distinct physical instance.
-
D.
supportsMultipleServersDisplay
Indicates that an entity can correctly handle and present information for more than one server simultaneously.
-
E.
numberOfInstances
Indicates the quantity or count of distinct occurrences or instances associated with a given entity or context.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51bf7e5c8190850b671778496150 |
completed | April 1, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69cca545b2448190a4297312e39c21ac |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.