Triple
T7476104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwards v. South Carolina |
E176635
|
entity |
| Predicate | concernsTypeOfConduct |
P76459
|
FINISHED |
| Object | peaceful civil rights demonstration |
—
|
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: peaceful civil rights demonstration | Statement: [Edwards v. South Carolina, concernsTypeOfConduct, peaceful civil rights demonstration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsTypeOfConduct Context triple: [Edwards v. South Carolina, concernsTypeOfConduct, peaceful civil rights demonstration]
-
A.
conducts
Indicates that an entity organizes, directs, or carries out an activity, operation, or process involving another entity.
-
B.
decisionsConcern
Indicates that certain decisions are about, relate to, or focus on a particular subject, issue, or entity.
-
C.
concernsProgramme
Indicates that something is about, relates to, or is specifically associated with a particular programme.
-
D.
concernsBusinessType
Indicates that something is related or applicable to a particular type or category of business.
-
E.
raisedConcernAbout
Indicates that one entity has expressed worry, doubt, or objection regarding another entity or issue.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4ec85488190a1f7fb913e0fbe35 |
completed | March 27, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:41 p.m.