Triple
T36515223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexington-class battlecruiser |
E900016
|
entity |
| Predicate | convertedShip |
P21289
|
FINISHED |
| Object | USS Lexington (CV-2) |
—
|
NE NERFINISHED |
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: USS Lexington (CV-2) | Statement: [Lexington-class battlecruiser, convertedShip, USS Lexington (CV-2)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedShip Context triple: [Lexington-class battlecruiser, convertedShip, USS Lexington (CV-2)]
-
A.
conversionOfShip
chosen
Indicates the process by which a ship is altered or transformed from one configuration, role, or specification into another.
-
B.
componentShip
Indicates that one entity is a physical or logical component or part of another entity, such that the whole is composed of or depends on that component.
-
C.
renamedShipAs
Indicates that one entity changed the name of a ship to another specified name.
-
D.
targetedShip
Indicates that one entity has selected or designated a particular ship as the focus of its attention or action, such as for attack, tracking, or interaction.
-
E.
commissionedShip
Indicates that a ship has been formally placed into active service, typically following its construction or acquisition.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.