Triple
T23451381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book IV (Institutes of Justinian) |
E567788
|
entity |
| Predicate | juridicalFunction |
P148110
|
FINISHED |
| Object | systematization of procedural 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: systematization of procedural law | Statement: [Book IV (Institutes of Justinian), juridicalFunction, systematization of procedural law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juridicalFunction Context triple: [Book IV (Institutes of Justinian), juridicalFunction, systematization of procedural law]
-
A.
juridicalCategory
Indicates the legal classification or status under which an entity or relationship is formally recognized in a juridical system.
-
B.
legalFeature
chosen
Indicates that something possesses a specific legal characteristic, status, or attribute relevant to laws or regulations.
-
C.
legalSubject
Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
-
D.
subjectOfLaw
Indicates that a law, legal document, or legal provision is about, concerns, or applies to the referenced subject.
-
E.
typeOfJurist
Indicates that one entity is a specific kind or category of jurist in relation to another 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64d3e9c8190a2596b067c4f5061 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:52 p.m.