Triple
T7094060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Power Company |
E165275
|
entity |
| Predicate | associatedWithLegalConcept |
P61922
|
FINISHED |
| Object | employment testing requirements |
—
|
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: employment testing requirements | Statement: [Duke Power Company, associatedWithLegalConcept, employment testing requirements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLegalConcept Context triple: [Duke Power Company, associatedWithLegalConcept, employment testing requirements]
-
A.
relatedLegalConcept
chosen
Indicates that one legal concept is connected or associated with another through a relevant legal relationship or context.
-
B.
legalConcept
Indicates a relationship where something is classified or treated as a concept defined and governed by law or legal theory.
-
C.
hasLegalRelevanceIn
Indicates that something is legally significant, applicable, or has consequences within a specified legal context, case, or jurisdiction.
-
D.
associatedWithCourt
Indicates a relationship in which an entity is linked or connected to a specific court, such as through jurisdiction, affiliation, or involvement in legal proceedings.
-
E.
relatedLegalSystem
Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e55159848190a794ad77e60c5525 |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.