Triple
T2796969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleet Admiral (United States Navy) |
E53059
|
entity |
| Predicate | NATOrank |
P24247
|
FINISHED |
| Object | OF-10 equivalent |
—
|
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: OF-10 equivalent | Statement: [Fleet Admiral (United States Navy), NATOrank, OF-10 equivalent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NATOrank Context triple: [Fleet Admiral (United States Navy), NATOrank, OF-10 equivalent]
-
A.
nationalRank
Indicates the position or standing of an entity within a ranking system at the national level.
-
B.
NATORankCode
chosen
Indicates the standardized NATO rank classification assigned to a military person or position within the alliance.
-
C.
portRank
Indicates the relative importance or hierarchical ranking assigned to a port within a given system or context.
-
D.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
E.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
- 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.