Triple
T17682045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian battleship Conte di Cavour |
E440792
|
entity |
| Predicate | repairsCompleted |
P128555
|
FINISHED |
| Object | never fully completed |
—
|
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: never fully completed | Statement: [Italian battleship Conte di Cavour, repairsCompleted, never fully completed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repairsCompleted Context triple: [Italian battleship Conte di Cavour, repairsCompleted, never fully completed]
-
A.
repairedIn
Indicates that an item or object underwent repair within a specified location or during a particular time period.
-
B.
renovationCompleted
Indicates that a renovation process for an entity has been fully finished and is no longer in progress.
-
C.
rebuiltCompletedIn
Indicates that an entity has undergone a rebuilding process that was fully completed in a specified time or event.
-
D.
completedIn
Indicates that an action, process, or task was fully finished within a specified time period or duration.
-
E.
requiredFollowUpRepairsBy
Indicates that one entity necessitates subsequent repair work to be performed by another specific 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704514d481908aad4172fa930e6b |
completed | April 19, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:02 a.m.