Triple
T7476078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwards v. South Carolina |
E176635
|
entity |
| Predicate | involvesNumberOfDemonstrators |
P1131
|
FINISHED |
| Object | 187 |
—
|
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: 187 | Statement: [Edwards v. South Carolina, involvesNumberOfDemonstrators, 187]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesNumberOfDemonstrators Context triple: [Edwards v. South Carolina, involvesNumberOfDemonstrators, 187]
-
A.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
B.
vowOfParticipants
Indicates that certain participants formally promise or commit themselves to a specified action, condition, or relationship.
-
C.
massParticipation
Indicates that a large number of individuals or entities are jointly involved in or contributing to a particular activity, event, or process.
-
D.
numberOfSupporters
Indicates the quantity of entities that provide backing, endorsement, or support to a given entity or proposition.
-
E.
numberOfIndictedPersonsApproximate
Indicates an approximate count of persons who have been formally indicted in a given context or case.
- 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_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. |
Created at: March 27, 2026, 3:41 p.m.