Triple
T9562866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory ship |
E230716
|
entity |
| Predicate | somePreservedAs |
P89806
|
FINISHED |
| Object | museum ship |
—
|
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: museum ship | Statement: [Victory ship, somePreservedAs, museum ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: somePreservedAs Context triple: [Victory ship, somePreservedAs, museum ship]
-
A.
partlyPreservedAs
Indicates that an entity is only partially preserved or remains in incomplete form within another entity or context.
-
B.
preservedExample
Indicates that an example instance has been kept intact or maintained in its original state for future reference or use.
-
C.
selectedForPreservationBy
Indicates that one entity has been chosen by another entity to be kept, maintained, or safeguarded from removal or loss.
-
D.
partiallyPreserved
Indicates that the referenced entity or object is only incompletely intact, with some parts missing, damaged, or lost while others remain.
-
E.
partiallyPreservedThrough
Indicates that something is not fully intact but has been maintained or conserved to some extent by or via another entity or medium.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9965e7b881909df98e933db38092 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:03 p.m.