Triple
T16171902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woolworth’s lunch counter (Greensboro) |
E392458
|
entity |
| Predicate | desegregatedOn |
P121989
|
FINISHED |
| Object | July 25, 1960 |
—
|
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: July 25, 1960 | Statement: [Woolworth’s lunch counter (Greensboro), desegregatedOn, July 25, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: desegregatedOn Context triple: [Woolworth’s lunch counter (Greensboro), desegregatedOn, July 25, 1960]
-
A.
segregationEra
Indicates a period or context in which entities are subject to racially discriminatory separation or unequal treatment under segregation policies.
-
B.
segregatedSchoolCreated
Indicates that a school was established or created as a segregated institution, separating students based on a specific social or demographic characteristic (e.g., race).
-
C.
stanceOnSegregation
Indicates a person or group’s expressed position, attitude, or viewpoint regarding racial or social segregation.
-
D.
segregatedSchoolName
Indicates that the named school was segregated, typically separating students based on race or ethnicity.
-
E.
typeOfSegregationAddressed
Indicates the specific form or category of segregation that is being targeted, handled, or dealt with in a given context.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb7ab1481908fc35bfc8c56e5f2 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.