Triple
T1348537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Chapel A.M.E. Church |
E28825
|
entity |
| Predicate | associatedWithCause |
P10437
|
FINISHED |
| Object | voting rights for African Americans |
—
|
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: voting rights for African Americans | Statement: [Brown Chapel A.M.E. Church, associatedWithCause, voting rights for African Americans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCause Context triple: [Brown Chapel A.M.E. Church, associatedWithCause, voting rights for African Americans]
-
A.
causeSupported
chosen
Indicates that an entity provides backing, endorsement, or assistance to a particular cause or initiative.
-
B.
associatedWithRule
Indicates that an entity is linked or connected to a specific rule, such as being governed, constrained, or defined by that rule.
-
C.
hasCause
Indicates that one entity is the reason for, or brings about, the occurrence or existence of another entity or event.
-
D.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
E.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2418e38819094683d6e1efc6e56 |
completed | March 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69a4bef5857c81909ae984feb85a26ca |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.