Triple
T27028714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Navy personnel |
E680856
|
entity |
| Predicate | typicalOfficerPrefix |
P199833
|
FINISHED |
| Object | O |
—
|
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: O | Statement: [U.S. Navy personnel, typicalOfficerPrefix, O]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOfficerPrefix Context triple: [U.S. Navy personnel, typicalOfficerPrefix, O]
-
A.
typicalEnlistedPrefix
Indicates that one entity is the standard or commonly used prefix associated with an enlisted rank or enlisted designation of another entity.
-
B.
typicalOfficers
Indicates that the specified entities are the standard or commonly expected officers associated with a given organization, role, or context.
-
C.
officersKnownAs
Indicates that certain officers are referred to or recognized by a particular name or designation.
-
D.
officersServeAs
Indicates that certain individuals hold and perform the role or duties of officers within a particular organization or context.
-
E.
officersAre
Indicates that certain individuals hold the role or position of officers within a specified group, organization, or context.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
| PDg | Predicate description generation | batch_69ff5b224b8c8190bd0955876098ecc8 |
completed | May 9, 2026, 4:04 p.m. |
Created at: April 27, 2026, 7:12 a.m.