Triple
T38468953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant General (United States Coast Guard) |
E912655
|
entity |
| Predicate | officerGrade |
P202365
|
FINISHED |
| Object | general officer grade |
—
|
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: general officer grade | Statement: [Lieutenant General (United States Coast Guard), officerGrade, general officer grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officerGrade Context triple: [Lieutenant General (United States Coast Guard), officerGrade, general officer grade]
-
A.
policeRank
Indicates that one entity holds a specific rank or position within a police organization relative to another entity.
-
B.
officerCorps
Indicates that an entity belongs to, is part of, or is associated with a group or body of officers within an organization or institution.
-
C.
civilServiceRank
Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
-
D.
seniorOfficerRank
Indicates that one entity holds a higher or more senior officer rank than the other within a hierarchical structure.
-
E.
commandingOfficerRank
Indicates the military rank held by the officer who has command authority over a given individual or unit.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0076c0a5c4819088b17b95511b93ed |
completed | May 10, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_6a007638a67c81909c091335142260ab |
completed | May 10, 2026, 12:12 p.m. |
| PDg | Predicate description generation | batch_6a0076bfd1a481909170c3e181a16d9a |
completed | May 10, 2026, 12:14 p.m. |
Created at: May 3, 2026, 4:31 p.m.