Triple
T15456852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paasikiven–Kekkosen linja |
E371791
|
entity |
| Predicate | endedOrTransformed |
P40760
|
FINISHED |
| Object | after the collapse of the Soviet Union in 1991 |
—
|
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: after the collapse of the Soviet Union in 1991 | Statement: [Paasikiven–Kekkosen linja, endedOrTransformed, after the collapse of the Soviet Union in 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endedOrTransformed Context triple: [Paasikiven–Kekkosen linja, endedOrTransformed, after the collapse of the Soviet Union in 1991]
-
A.
formedTo
Indicates that one entity was created, established, or organized for the purpose of serving, supporting, or enabling another entity or activity.
-
B.
bodyTransformedInto
Indicates that one entity’s physical form is changed or converted into another specified form or entity.
-
C.
endedFor
chosen
Indicates that a particular event, state, or process has come to an end for a specified entity or participant.
-
D.
confirmedOrModified
Indicates that an existing item, state, or assertion has either been verified as correct or updated with new information.
-
E.
transcribedAs
Indicates that one entity is a written or recorded representation of another entity’s content, typically converting it from one form (e.g., audio, handwriting) into text.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f146a2c8190882741af3ec15268 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:31 a.m.