Triple
T9313133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F-root |
E224051
|
entity |
| Predicate | isSingleLogicalServer |
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: [F-root, isSingleLogicalServer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSingleLogicalServer Context triple: [F-root, isSingleLogicalServer, true]
-
A.
hasNumberOfLogicalServers
Indicates the quantity of logical servers associated with or contained within a given entity.
-
B.
isIsolated
Indicates that an entity exists or occurs separately from others, without direct contact, interaction, or connection.
-
C.
isSingleDistrictFor
Indicates that one district uniquely and exclusively serves or applies to a given entity, with no other districts sharing that role.
-
D.
hasServer
Indicates that one entity functions as or possesses a server that provides services or resources to another entity.
-
E.
supportsMultipleServersDisplay
Indicates that an entity can correctly handle and present information for more than one server simultaneously.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b048a081909fd7ec0b6b863063 |
completed | April 1, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:37 p.m.