Triple
T26305853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DDG-1000 Zumwalt-class program |
E661679
|
entity |
| Predicate | shipClassDesignation |
P3141
|
FINISHED |
| Object | DDG-1000 |
—
|
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: DDG-1000 | Statement: [DDG-1000 Zumwalt-class program, shipClassDesignation, DDG-1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipClassDesignation Context triple: [DDG-1000 Zumwalt-class program, shipClassDesignation, DDG-1000]
-
A.
shipClass
chosen
Indicates the classification or type category to which a particular ship belongs.
-
B.
shipClassDeveloped
Indicates that a particular ship class was developed or designed by a specified entity (such as a country, organization, or manufacturer).
-
C.
shipDesigned
Indicates that one entity is responsible for designing or creating the design of a ship associated with another entity.
-
D.
shipClassVariant
Indicates that one ship class is a variant or modified version derived from another ship class.
-
E.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ee2f18481908de53cc9872e96f4 |
completed | May 2, 2026, 2:49 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:18 p.m.