Triple
T31305635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenishev School |
E798328
|
entity |
| Predicate | closedOrTransformedAfter |
P49904
|
FINISHED |
| Object | Russian Revolution of 1917 |
—
|
NE NERFINISHED |
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: Russian Revolution of 1917 | Statement: [Tenishev School, closedOrTransformedAfter, Russian Revolution of 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedOrTransformedAfter Context triple: [Tenishev School, closedOrTransformedAfter, Russian Revolution of 1917]
-
A.
closedOrRelocatedAfterEvent
chosen
Indicates that an entity ceased operations or moved to a different location following a specified event.
-
B.
closedBefore
Indicates that one entity was closed at an earlier time than another entity.
-
C.
closedBy
Indicates that one entity performs the action of closing, finishing, or terminating another entity (such as a task, issue, or process).
-
D.
closedPredecessor
Indicates that one entity is an immediate predecessor of another in a sequence or ordering, and that this predecessor relationship is defined within a closed (inclusive) boundary of that ordering.
-
E.
closedFor
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 29, 2026, 9:14 p.m.