Triple
T759192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Department of Transportation |
E16026
|
entity |
| Predicate | hasCabinetLevelStatus |
P1269
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Maryland Department of Transportation, hasCabinetLevelStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCabinetLevelStatus Context triple: [Maryland Department of Transportation, hasCabinetLevelStatus, true]
-
A.
cabinetLevel
chosen
Indicates that an official, position, or body holds a status equivalent to or recognized as part of a national cabinet-level rank or authority.
-
B.
hasCabinet
Indicates that one entity possesses, includes, or is equipped with a cabinet associated with it.
-
C.
hasUNStatus
Indicates that an entity holds a particular formal status or recognition within the United Nations system.
-
D.
isSeniorPoliticalRole
Indicates that the role held by an entity is a high-level or senior position within a political system or organization.
-
E.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a67f9778819098d3c144dd26b976 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.