Triple
T130956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter from Birmingham Jail |
E2651
|
entity |
| Predicate | reasonWritten |
P6877
|
FINISHED |
| Object | to justify civil rights demonstrations in Birmingham |
—
|
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: to justify civil rights demonstrations in Birmingham | Statement: [Letter from Birmingham Jail, reasonWritten, to justify civil rights demonstrations in Birmingham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonWritten Context triple: [Letter from Birmingham Jail, reasonWritten, to justify civil rights demonstrations in Birmingham]
-
A.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
B.
reasonForReoffer
Indicates the reason or justification for presenting something again after it was previously offered.
-
C.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
E.
reasonForRelocation
Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2564edb488190974dc00eb9ac37d9 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2585408c881908a25b5c61f300154 |
completed | Feb. 28, 2026, 2:52 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.