Triple
T9703197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument to Felix Dzerzhinsky (Lubyanka) |
E234828
|
entity |
| Predicate | causeOfRemoval |
P12269
|
FINISHED |
| Object | collapse of the Soviet Union |
—
|
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: collapse of the Soviet Union | Statement: [Monument to Felix Dzerzhinsky (Lubyanka), causeOfRemoval, collapse of the Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfRemoval Context triple: [Monument to Felix Dzerzhinsky (Lubyanka), causeOfRemoval, collapse of the Soviet Union]
-
A.
reasonForElimination
chosen
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
-
B.
removalMechanism
Indicates the method or process by which something is removed, eliminated, or taken away from a system or context.
-
C.
reasonForDismissal
Indicates the cause or justification for which an entity (such as a person, case, or item) was dismissed, terminated, or removed.
-
D.
removalOnAdviceOf
Indicates that one entity is removed or taken away as a result of guidance, recommendation, or instruction provided by another entity.
-
E.
causeStatus
Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d73a0148190ad4178fd462cdd9c |
completed | April 1, 2026, 10:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:18 p.m.