Triple
T1278956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attorney General of Maryland |
E27278
|
entity |
| Predicate | isPartOfBranch |
P22486
|
FINISHED |
| Object | executive branch of Maryland |
—
|
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: executive branch of Maryland | Statement: [Attorney General of Maryland, isPartOfBranch, executive branch of Maryland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfBranch Context triple: [Attorney General of Maryland, isPartOfBranch, executive branch of Maryland]
-
A.
isPartOfBranchTypically
chosen
Indicates that something is typically a component or subdivision within a larger branch.
-
B.
isUniqueBranchOf
Indicates that one branch is the sole or distinct sub-branch associated with a particular parent entity or structure.
-
C.
isOnBranch
Indicates that one entity is physically positioned atop or supported by a branch of another entity.
-
D.
parentBranch
Indicates that one branch serves as the direct ancestor or source from which another branch originates or is derived.
-
E.
involvedBranch
Indicates that a particular branch (such as a location, division, or sub-unit) participates in, is associated with, or plays a role in the referenced event, process, or relationship.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c092eb688190bf42bbd59e4ff289 |
completed | March 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.