Triple
T10975736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 20 July plot |
E259363
|
entity |
| Predicate | numberOfPeoplePunished |
P96406
|
FINISHED |
| Object | over 4,000 arrested or executed |
—
|
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: over 4,000 arrested or executed | Statement: [20 July plot, numberOfPeoplePunished, over 4,000 arrested or executed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeoplePunished Context triple: [20 July plot, numberOfPeoplePunished, over 4,000 arrested or executed]
-
A.
punishmentOfPeople
Indicates that a person or group is subjected to a punitive action or sanction by another entity or authority.
-
B.
numberOfPeopleAccused
Indicates the count of individuals who are formally alleged to have committed a particular act or offense.
-
C.
numberOfPrisonSentences
Indicates the count of distinct prison sentences that have been imposed on a given individual or entity.
-
D.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
E.
numberOfIndictedPersonsApproximate
Indicates an approximate count of persons who have been formally indicted in a given context or case.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f4e888819097433271a2f45ff3 |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.