Triple
T2810704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Nevada |
E54160
|
entity |
| Predicate | crewComplementWorldWarII |
P43730
|
FINISHED |
| Object | approximately 2200 officers and enlisted |
—
|
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: approximately 2200 officers and enlisted | Statement: [USS Nevada, crewComplementWorldWarII, approximately 2200 officers and enlisted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewComplementWorldWarII Context triple: [USS Nevada, crewComplementWorldWarII, approximately 2200 officers and enlisted]
-
A.
sideInWorldWarII
Indicates that an entity was aligned with or participated on a particular side during World War II.
-
B.
serviceBranchDuringWorldWarII
Indicates that an entity served in a specified branch of the military during World War II.
-
C.
frontDuringWWII
Indicates that an entity served as a military front or active combat theater during World War II.
-
D.
alliedForcesComposition
Indicates the makeup and relative proportions of different military or paramilitary groups that are joined together as allied forces in a given context.
-
E.
crewComplementAtSinking
Indicates the number or composition of a vessel’s crew present on board at the time it sank.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde335b38819090c70d5e2ca14d79 |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde0f4c648190b9812e64f30c39da |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 9:59 p.m.