Triple
T32185658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airman First Class (USSF enlisted rank) |
E822101
|
entity |
| Predicate | isWarrantOfficerRank |
P109149
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Airman First Class (USSF enlisted rank), isWarrantOfficerRank, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWarrantOfficerRank Context triple: [Airman First Class (USSF enlisted rank), isWarrantOfficerRank, no]
-
A.
warrantOfficer
Indicates that one entity holds the military rank or position of warrant officer in relation to another entity (such as an organization, unit, or force).
-
B.
hasWarrantOrNCOEquivalentRank
chosen
Indicates that one entity holds a warrant officer rank or an equivalent non-commissioned officer rank in relation to another entity.
-
C.
isWartimeRank
Indicates that a given military rank is designated for use specifically during periods of war or armed conflict, rather than in peacetime.
-
D.
isMilitaryRank
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
-
E.
isMilitaryOfficer
Indicates that the subject holds an official position as an officer within a military organization.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bab9100c8190ad1f86fece0fc505 |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.