Triple
T11101184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin County Court of Common Pleas |
E262506
|
entity |
| Predicate | hasSpecializedDocket |
P95538
|
FINISHED |
| Object | drug court docket |
—
|
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: drug court docket | Statement: [Franklin County Court of Common Pleas, hasSpecializedDocket, drug court docket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecializedDocket Context triple: [Franklin County Court of Common Pleas, hasSpecializedDocket, drug court docket]
-
A.
hasDocket
chosen
Indicates that an entity is associated with a specific docket or docket record, typically within a legal or administrative case management context.
-
B.
hasSpecialCourts
Indicates that a legal system or jurisdiction possesses dedicated courts established to handle specific types of cases or legal matters separately from general courts.
-
C.
hasSpecialist
Indicates that one entity is associated with or assigned to a specialist entity that provides expert support, service, or oversight for it.
-
D.
hasNumberOfSpecialMasters
Indicates the quantity of special master roles or positions associated with a given entity.
-
E.
hasTypeOfCourt
Indicates that an entity is associated with or classified by a specific type or category of court.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a2ab09081908ffce2df8912b657 |
completed | April 9, 2026, 12:23 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.