Triple
T4557312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institutes of the Lawes of England |
E120509
|
entity |
| Predicate | fourthPartSubject |
P57656
|
FINISHED |
| Object | jurisdiction of courts |
—
|
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: jurisdiction of courts | Statement: [Institutes of the Lawes of England, fourthPartSubject, jurisdiction of courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthPartSubject Context triple: [Institutes of the Lawes of England, fourthPartSubject, jurisdiction of courts]
-
A.
secondPartSubject
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
-
B.
season4Subject
Indicates that one entity serves as the subject or main focus of the fourth season of another entity (such as a series or show).
-
C.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
D.
fourthWork
Indicates that one entity is the fourth work (in a series, sequence, or collection) associated with another entity.
-
E.
fourthSingle
Indicates that an entity is the fourth individual item or occurrence in a sequence, considered on its own rather than as part of a group.
- F. None of above. chosen
Provenance (4 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58163e6081909d5a3aae12c42a00 |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:09 p.m.