Triple
T15222729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finlandization |
E363800
|
entity |
| Predicate | usedAsAnalogyFor |
P3882
|
FINISHED |
| Object | potential policies of small European states toward Russia |
—
|
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: potential policies of small European states toward Russia | Statement: [Finlandization, usedAsAnalogyFor, potential policies of small European states toward Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsAnalogyFor Context triple: [Finlandization, usedAsAnalogyFor, potential policies of small European states toward Russia]
-
A.
relatedAnalogy
Indicates that one entity is connected to another through an analogy, expressing a similarity or correspondence in structure, function, or relationship between them.
-
B.
usedAsAnalogFor
chosen
Indicates that one entity is employed as a comparison or illustrative counterpart to help explain, represent, or understand another entity.
-
C.
viewOnAnalogy
Indicates a relationship where one entity interprets, understands, or evaluates another entity by drawing an analogy to something else.
-
D.
usedAsExampleIn
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
-
E.
usedToExplain
Indicates that one entity serves as an explanation or clarification for 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00788b04881909dad9b346ce3b4a9 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.