Triple
T19503166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Cabot |
E487952
|
entity |
| Predicate | attemptedPreservationAs |
P136164
|
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: [USS Cabot, attemptedPreservationAs, museum ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attemptedPreservationAs Context triple: [USS Cabot, attemptedPreservationAs, museum ship]
-
A.
somePreservedAs
Indicates that at least one part or instance of an entity is kept or maintained in a particular state, form, or condition.
-
B.
isPreservedBy
Indicates that something remains unchanged, intact, or maintained as it is due to the action or influence of a particular agent or process.
-
C.
preservedFor
Indicates that something has been kept intact or maintained in a particular state for the benefit, use, or reference of a specified entity or purpose.
-
D.
partlyPreservedAs
Indicates that an entity is only partially preserved or remains in incomplete form within another entity or context.
-
E.
betterPreservedThan
Indicates that one entity is in a superior state of preservation or condition compared to another 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6350f8d888190a4809c83522933d4 |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004d3a708190a1c13c8f644f3926 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.