Triple
T5476091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina General Assembly |
E122956
|
entity |
| Predicate | mayCall |
P33310
|
FINISHED |
| Object | joint sessions of both houses |
—
|
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: joint sessions of both houses | Statement: [South Carolina General Assembly, mayCall, joint sessions of both houses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayCall Context triple: [South Carolina General Assembly, mayCall, joint sessions of both houses]
-
A.
mayAlsoBeCalled
Indicates that one entity can alternatively be referred to by another name or label.
-
B.
mayRequest
Indicates that one entity is permitted or authorized to make a request to another entity or for a particular resource or action.
-
C.
mayActThrough
Indicates that an entity can exert influence, perform an action, or have an effect by means of another entity, mechanism, or intermediary.
-
D.
maySpeak
Indicates that one entity is permitted or allowed to speak to, or communicate verbally with, another entity.
-
E.
mayConduct
chosen
Indicates that one entity is permitted or authorized to carry out, perform, or execute a particular action, process, or operation on or with another entity.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd923639bc81909a83dd4fcaa8c636 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.