Triple
T30557863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novocherkassk massacre |
E777750
|
entity |
| Predicate | numberOfExecutedAfterTrial |
P202424
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Novocherkassk massacre, numberOfExecutedAfterTrial, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfExecutedAfterTrial Context triple: [Novocherkassk massacre, numberOfExecutedAfterTrial, 7]
-
A.
numberOfExecutions
Indicates the count of times a particular action, process, or event has been carried out.
-
B.
hasNumberOfTrials
Indicates the total count of trials or experimental attempts associated with an entity or process.
-
C.
numberOfMembersExecuted
Indicates the count of members within a group or organization who have been put to death, typically as a result of an official or authoritative decision.
-
D.
trialNumber
Indicates the ordinal position or sequence index of a specific trial within a series of trials.
-
E.
trialAfter
Indicates that one trial or legal proceeding occurs subsequent to another in time or sequence.
- F. None of above. chosen
Provenance (4 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a007ef69f5c8190be6fb89e918d30fa |
completed | May 10, 2026, 12:49 p.m. |
| PD | Predicate disambiguation | batch_6a007e4060448190ad7420b07c1fe219 |
completed | May 10, 2026, 12:46 p.m. |
| PDg | Predicate description generation | batch_6a007ef5f05c8190a2d43e4bc45fba3f |
completed | May 10, 2026, 12:49 p.m. |
Created at: April 29, 2026, 8:21 p.m.