Triple
T31899602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Navy global operations |
E814385
|
entity |
| Predicate | supportsInterest |
P184629
|
FINISHED |
| Object | United Kingdom national security |
—
|
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: United Kingdom national security | Statement: [Royal Navy global operations, supportsInterest, United Kingdom national security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInterest Context triple: [Royal Navy global operations, supportsInterest, United Kingdom national security]
-
A.
interestMayBe
Indicates that one entity potentially has an interest in, or may be interested in, another entity or subject.
-
B.
representsInterestOf
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
-
C.
recognizedInterest
Indicates that one entity has formally acknowledged or identified another entity’s interest in something as valid or relevant.
-
D.
interestType
Indicates the specific category or nature of interest that one entity has in relation to another or to a subject.
-
E.
worksForInterestOf
chosen
Indicates that one entity performs actions or services primarily to benefit, advance, or serve the interests of another entity.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:59 p.m.