Triple
T3959634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selectarum iuris quaestionum libri II |
E85868
|
entity |
| Predicate | analysisFocus |
P33307
|
FINISHED |
| Object | interpretation of Roman and civil law rules |
—
|
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: interpretation of Roman and civil law rules | Statement: [Selectarum iuris quaestionum libri II, analysisFocus, interpretation of Roman and civil law rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analysisFocus Context triple: [Selectarum iuris quaestionum libri II, analysisFocus, interpretation of Roman and civil law rules]
-
A.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
B.
helpsAnalyze
Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
-
C.
commentaryFocus
Indicates that an item of commentary is primarily directed toward or centered on a particular entity, topic, or aspect.
-
D.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
-
E.
unitOfAnalysis
chosen
Indicates the primary entity, level, or component that is being examined or measured in a given analysis or study.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.