Triple
T25354521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clerk of the Circuit Court for St. Mary's County |
E635781
|
entity |
| Predicate | recordMedium |
P146320
|
FINISHED |
| Object | electronic records |
—
|
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: electronic records | Statement: [Clerk of the Circuit Court for St. Mary's County, recordMedium, electronic records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordMedium Context triple: [Clerk of the Circuit Court for St. Mary's County, recordMedium, electronic records]
-
A.
notableRecordingMedium
Indicates that an entity is notably recorded, documented, or expressed using a particular medium or format.
-
B.
phonographicType
Indicates the specific kind or category of phonographic recording or medium associated with an entity.
-
C.
hasPhysicalMedium
Indicates that one entity serves as the tangible carrier or material form through which another entity exists, is stored, or is transmitted.
-
D.
referenceMedium
chosen
Indicates that one entity serves as the medium, channel, or format through which another entity is referenced, accessed, or communicated.
-
E.
opticalDiscType
Indicates the specific kind or category of an optical disc involved in the relationship (e.g., CD, DVD, Blu-ray).
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 1:35 p.m.