Triple
T21084768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Court Division |
E519457
|
entity |
| Predicate | caseTypeCategory |
P81213
|
FINISHED |
| Object | civil cases |
—
|
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: civil cases | Statement: [Family Court Division, caseTypeCategory, civil cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caseTypeCategory Context triple: [Family Court Division, caseTypeCategory, civil cases]
-
A.
caseTypes
chosen
Indicates the types or categories of cases associated with or applicable to an entity or situation.
-
B.
typicalCaseTypes
Indicates the kinds or categories of cases that are most commonly associated with or handled by a given entity.
-
C.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
D.
typeOfDiscrimination
Indicates a relationship where one party is subjected to a specific kind or category of discriminatory treatment by another party or within a given context.
-
E.
typeOfLaw
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e709498fc081908d92a93e8678c140 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:49 p.m.