Triple
T2251726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimitz-class aircraft carrier |
E49631
|
entity |
| Predicate | shipDraft |
P36729
|
FINISHED |
| Object | about 11.3 meters |
—
|
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: about 11.3 meters | Statement: [Nimitz-class aircraft carrier, shipDraft, about 11.3 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipDraft Context triple: [Nimitz-class aircraft carrier, shipDraft, about 11.3 meters]
-
A.
shipUsed
Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
-
B.
shipRepresents
Indicates that one entity (typically a ship) serves as a symbol, stand-in, or representation for another entity, concept, or group.
-
C.
shipyard
Indicates a relationship where a location functions as a facility for building, repairing, or maintaining ships.
-
D.
shipName
Indicates the name assigned to a specific ship in the relationship.
-
E.
shipInvolved
Indicates that a ship participates in, is associated with, or plays a role in a specified event or situation.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc11d04688190abc04fac3a1804a9 |
completed | March 7, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe86dbcc81908c72793af8fe2a4d |
completed | March 7, 2026, 5:58 a.m. |
Created at: March 4, 2026, 7:47 p.m.