Triple
T2909805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Navy ranks |
E63653
|
entity |
| Predicate | topRankCategory |
P34976
|
FINISHED |
| Object | flag officer ranks |
—
|
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: flag officer ranks | Statement: [United States Navy ranks, topRankCategory, flag officer ranks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topRankCategory Context triple: [United States Navy ranks, topRankCategory, flag officer ranks]
-
A.
rankingCategory
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
-
B.
highestCategory
chosen
Indicates that the related entity is the topmost or most specific category to which another entity is ultimately classified or assigned.
-
C.
hasRankingCategory
Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
-
D.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
E.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0e899808190a348e1e71116d0a5 |
completed | March 7, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.