Triple
T2200193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Race Riot of 1919 |
E50469
|
entity |
| Predicate | hasNumberOfArrests |
P24738
|
FINISHED |
| Object | over 1000 |
—
|
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 1000 | Statement: [Chicago Race Riot of 1919, hasNumberOfArrests, over 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfArrests Context triple: [Chicago Race Riot of 1919, hasNumberOfArrests, over 1000]
-
A.
numberOfArrests
chosen
Indicates the count of times an entity has been arrested.
-
B.
hasFirstConviction
Indicates that an entity has received its first legal conviction for an offense.
-
C.
numberOfConvictions
Indicates the count of times an entity has been formally found guilty of an offense.
-
D.
arrests
Indicates that one entity, typically an authority figure, seizes and detains another entity under legal or official power.
-
E.
convictedOf
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.