Triple
T38226771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Force Warrant Officer ranks (historical) |
E1012165
|
entity |
| Predicate | relationshipToEnlisted |
P204553
|
FINISHED |
| Object | above senior enlisted grades |
—
|
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: above senior enlisted grades | Statement: [Air Force Warrant Officer ranks (historical), relationshipToEnlisted, above senior enlisted grades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToEnlisted Context triple: [Air Force Warrant Officer ranks (historical), relationshipToEnlisted, above senior enlisted grades]
-
A.
relationshipToCaptain
Indicates the specific familial, professional, or social relationship that an entity has to a captain.
-
B.
relationshipToState
Indicates a relationship or connection that an entity has with a particular state or governmental body.
-
C.
relationshipToBond
Indicates the specific type of personal, familial, or professional relationship an entity has to the person named Bond.
-
D.
rosterRelationship
Indicates a relationship where one entity is listed as a member, participant, or component within another entity’s roster or lineup.
-
E.
relationshipToUNITAF
Indicates the specific type or nature of an entity’s relationship or affiliation with UNITAF.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.