Triple
T1556731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernadine Harris |
E33220
|
entity |
| Predicate | setWithin |
P12261
|
FINISHED |
| Object | African-American middle-class community |
—
|
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: African-American middle-class community | Statement: [Bernadine Harris, setWithin, African-American middle-class community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setWithin Context triple: [Bernadine Harris, setWithin, African-American middle-class community]
-
A.
operatesWithin
Indicates that one entity carries out its activities, functions, or operations inside the scope, boundaries, or jurisdiction defined by another entity.
-
B.
withinFeature
chosen
Indicates that one entity is spatially contained inside or lies entirely within the bounds of another feature.
-
C.
locatedBetween
Indicates that one entity is positioned spatially between two other reference entities.
-
D.
timePeriodWithin
Indicates that one time period is entirely contained within the bounds of another time period.
-
E.
basedInUntil
Indicates that an entity was based or located in a particular place up to a specified end time or date, after which this association ceased.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.