Triple
T14317136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.2d |
E354985
|
entity |
| Predicate | coversLawType |
P69225
|
FINISHED |
| Object | case law |
—
|
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: case law | Statement: [A.2d, coversLawType, case law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversLawType Context triple: [A.2d, coversLawType, case law]
-
A.
containsLawType
chosen
Indicates that one entity includes or is associated with a specific type or category of law.
-
B.
typeOfLaw
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
-
C.
legalCodeType
Indicates the specific category or classification of a legal code that applies to an entity or situation.
-
D.
legalTopicCoverage
Indicates that one entity (such as a document, service, or resource) addresses, discusses, or is relevant to a particular legal topic or area of law.
-
E.
legalCodeAppliesTo
Indicates that a particular legal code or statute is applicable to, or governs, a specified subject, situation, or entity.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.