Triple
T17517736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tranquility |
E426607
|
entity |
| Predicate | downtimePurpose |
P41485
|
FINISHED |
| Object | maintenance and updates |
—
|
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: maintenance and updates | Statement: [Tranquility, downtimePurpose, maintenance and updates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: downtimePurpose Context triple: [Tranquility, downtimePurpose, maintenance and updates]
-
A.
maintenance
Indicates that an entity performs, requires, or is involved in upkeep, repair, or preservation activities for another entity or system.
-
B.
restorationReason
Indicates the reason or justification for which something that was previously removed, disabled, or altered has been restored to its former state.
-
C.
reasonForTime
chosen
Indicates that one entity provides the explanation or cause for a particular point or duration of time associated with another entity.
-
D.
operationalPurpose
Indicates the function, role, or intended use that an entity is designed or configured to perform in an operational context.
-
E.
maintenanceEvent
Indicates that a maintenance-related action or occurrence takes place involving one or more entities.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452615a8481909974e9855ea7a8e4 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.