Triple
T2797004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleet Admiral (United States Navy) |
E53059
|
entity |
| Predicate | isPermanentGrade |
P20627
|
FINISHED |
| Object | yes for World War II appointees |
—
|
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: yes for World War II appointees | Statement: [Fleet Admiral (United States Navy), isPermanentGrade, yes for World War II appointees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPermanentGrade Context triple: [Fleet Admiral (United States Navy), isPermanentGrade, yes for World War II appointees]
-
A.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
B.
isPermanentForMembers
chosen
Indicates that a condition, status, or setting is unchangeable and remains in effect indefinitely for the members it applies to.
-
C.
hasGrades
Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
-
D.
isGradeOf
Indicates that one entity is the grade or evaluation assigned to another entity, such as a student, assignment, or performance.
-
E.
hasGradeCount
Indicates a relationship where an entity is associated with the number of grades it has or has received.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf0f4988190bffc3abab7edbb81 |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.