Triple
T2251724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimitz-class aircraft carrier |
E49631
|
entity |
| Predicate | shipLength |
P36727
|
FINISHED |
| Object | about 333 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 333 meters | Statement: [Nimitz-class aircraft carrier, shipLength, about 333 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipLength Context triple: [Nimitz-class aircraft carrier, shipLength, about 333 meters]
-
A.
naveLength
Indicates the length measurement of a building’s nave, typically from the entrance to the chancel or crossing.
-
B.
maximumShipBeam
Indicates the greatest allowable or observed width of a ship across its widest point.
-
C.
shipName
Indicates the name assigned to a specific ship in the relationship.
-
D.
maximumVesselLength
Indicates the greatest allowable or observed length of a vessel in a given context or constraint.
-
E.
shipClass
Indicates the classification or type category to which a particular ship belongs.
- 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.