Triple
T10140968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battleship New Jersey Museum and Memorial |
E231580
|
entity |
| Predicate | vesselDecorations |
P92490
|
FINISHED |
| Object | one of the most decorated battleships in U.S. history |
—
|
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: one of the most decorated battleships in U.S. history | Statement: [Battleship New Jersey Museum and Memorial, vesselDecorations, one of the most decorated battleships in U.S. history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vesselDecorations Context triple: [Battleship New Jersey Museum and Memorial, vesselDecorations, one of the most decorated battleships in U.S. history]
-
A.
boatDecorationStyle
Indicates the stylistic theme or manner in which a boat is decorated.
-
B.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
C.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
D.
featuresVessel
Indicates that one entity includes, presents, or prominently displays a particular vessel as part of its composition, content, or configuration.
-
E.
hasVessel
Indicates that one entity possesses, uses, or is associated with a particular vessel (such as a container, ship, or transport medium) in the context of the described relationship or action.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2425008190a92c5148ed703d5c |
completed | April 2, 2026, 4:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd51bc440c819086320900701f87c2 |
completed | April 1, 2026, 5:11 p.m. |
Created at: March 30, 2026, 9:07 p.m.