Triple
T18998433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 78-482 |
E464881
|
entity |
| Predicate | establishesRank |
P126472
|
FINISHED |
| Object | General of the Air Force |
—
|
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 of the Air Force | Statement: [Public Law 78-482, establishesRank, General of the Air Force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishesRank Context triple: [Public Law 78-482, establishesRank, General of the Air Force]
-
A.
establishedRank
chosen
Indicates that a stable or officially recognized hierarchical position or level has been assigned to an entity relative to others.
-
B.
grantsRank
Indicates that one entity confers or assigns a particular rank, status, or level to another entity.
-
C.
formationRank
Indicates the hierarchical position or level an entity holds within a particular formation or organized group.
-
D.
classRank
Indicates the relative academic standing or position of an entity within a class or cohort based on performance or criteria.
-
E.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6838f4481909b265e29964b0dca |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.