Triple
T8504696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1921 Tulsa Race Massacre |
E201303
|
entity |
| Predicate | businessesDestroyed |
P1583
|
FINISHED |
| Object | hundreds of Black-owned businesses |
—
|
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: hundreds of Black-owned businesses | Statement: [1921 Tulsa Race Massacre, businessesDestroyed, hundreds of Black-owned businesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessesDestroyed Context triple: [1921 Tulsa Race Massacre, businessesDestroyed, hundreds of Black-owned businesses]
-
A.
buildingsDestroyed
chosen
Indicates that one or more buildings have been damaged to the point of destruction as a result of some event or action.
-
B.
numberOfJewishBusinessesDamaged
Indicates the quantity of Jewish-owned businesses that were harmed or damaged in a given event or context.
-
C.
sufferedDestructionIn
Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
-
D.
worksDestroyedBy
Indicates that certain works have been ruined, demolished, or rendered unusable as a result of the actions or effects of a specified agent or cause.
-
E.
sufferedDestructionOf
Indicates that one entity experienced damage, ruin, or loss as a result of the destruction of another entity.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5d8b7208190b199c56bf366c692 |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.