Triple
T25518006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina Democratic primary |
E639560
|
entity |
| Predicate | delegateType |
P158621
|
FINISHED |
| Object | pledged delegates to the Democratic National Convention |
—
|
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: pledged delegates to the Democratic National Convention | Statement: [South Carolina Democratic primary, delegateType, pledged delegates to the Democratic National Convention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: delegateType Context triple: [South Carolina Democratic primary, delegateType, pledged delegates to the Democratic National Convention]
-
A.
designationType
Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
-
B.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
-
C.
appointerType
Indicates the role or category of entity that has the authority to appoint another entity.
-
D.
allyType
Indicates that one entity is classified as a specific type or category of ally in relation to another entity.
-
E.
denType
Indicates the specific kind or category of den associated with an entity.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8346c1481908272a96740bf51bc |
completed | May 2, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:57 p.m.