Triple
T21916052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmer Raids |
E541186
|
entity |
| Predicate | numberOfArrestees |
P24738
|
FINISHED |
| Object | thousands of people |
—
|
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: thousands of people | Statement: [Palmer Raids, numberOfArrestees, thousands of people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArrestees Context triple: [Palmer Raids, numberOfArrestees, thousands of people]
-
A.
numberOfArrests
chosen
Indicates the count of times an entity has been arrested.
-
B.
membersArrestedIn
Indicates that certain members of a group or organization were arrested in a specified location or during a particular event or operation.
-
C.
numberOfIndictedPersonsApproximate
Indicates an approximate count of persons who have been formally indicted in a given context or case.
-
D.
arrests
Indicates that one entity, typically an authority figure, seizes and detains another entity under legal or official power.
-
E.
numberOfPeopleAccused
Indicates the count of individuals who are formally alleged to have committed a particular act or offense.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123378140819090a30453c1db7f38 |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:43 p.m.