Triple
T25723329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States uniformed services ranks |
E645047
|
entity |
| Predicate | includesRankGroup |
P36072
|
FINISHED |
| Object | company-grade officers |
—
|
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: company-grade officers | Statement: [United States uniformed services ranks, includesRankGroup, company-grade officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesRankGroup Context triple: [United States uniformed services ranks, includesRankGroup, company-grade officers]
-
A.
containsRank
Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
-
B.
rankGroupOf
Indicates a relationship where entities are grouped together and assigned a shared rank or ordered position within a larger ranking system.
-
C.
rankStructureIncludes
chosen
Indicates that a given rank structure contains or encompasses a specified rank or set of ranks within its hierarchy.
-
D.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
-
E.
hasRankList
Indicates that an entity is associated with an ordered list of ranks or ranked items.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 21, 2026, 10:07 p.m.