Triple
T27182304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bath Iron Works |
E683227
|
entity |
| Predicate | producedClass |
P162081
|
FINISHED |
| Object | Arleigh Burke-class destroyer |
—
|
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: Arleigh Burke-class destroyer | Statement: [Bath Iron Works, producedClass, Arleigh Burke-class destroyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedClass Context triple: [Bath Iron Works, producedClass, Arleigh Burke-class destroyer]
-
A.
producedModel
Indicates that one entity created, manufactured, or generated the other entity as a model or product.
-
B.
producedSymbol
Indicates that one entity created or generated a particular symbol as an output or result.
-
C.
producedProgram
Indicates that one entity created or produced a specific program (such as a TV show, software, or other structured content).
-
D.
producedAs
Indicates that one entity is created, generated, or brought into existence as a result or output of another entity or process.
-
E.
producedArtifactType
chosen
Indicates the type or category of artifact that is created or generated as the result of a production process or activity.
- 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_69eefad140408190b8586fdebcf9af46 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 27, 2026, 9:29 a.m.