Triple
T6153323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rear Admiral (Royal Norwegian Navy) |
E137257
|
entity |
| Predicate | hasNATOContext |
P69480
|
FINISHED |
| Object | OF-level flag rank |
—
|
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-level flag rank | Statement: [Rear Admiral (Royal Norwegian Navy), hasNATOContext, OF-level flag rank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNATOContext Context triple: [Rear Admiral (Royal Norwegian Navy), hasNATOContext, OF-level flag rank]
-
A.
NATOcode
Indicates that there is a specified NATO (North Atlantic Treaty Organization) code assigned to or associated with an entity.
-
B.
hasParticipatingNATOAllies
Indicates that an entity is involved in an activity, operation, or arrangement together with one or more NATO member states as allies.
-
C.
isNATOAllyOf
Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
-
D.
positionOnNATO
Indicates a country's stance or alignment regarding membership in, support for, or opposition to NATO.
-
E.
hasCountryContext
Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
- F. None of above. chosen
Provenance (4 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cffc7bc819092633a9e5f1abe2f |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:16 p.m.