Triple
T24500564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law of Citations of 426 AD |
E617920
|
entity |
| Predicate | listsJurists |
P156536
|
FINISHED |
| Object | Papinian |
—
|
NE NERFINISHED |
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: Papinian | Statement: [Law of Citations of 426 AD, listsJurists, Papinian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listsJurists Context triple: [Law of Citations of 426 AD, listsJurists, Papinian]
-
A.
typeOfJurist
Indicates that one entity is a specific kind or category of jurist in relation to another entity.
-
B.
associatedWithJuristSchool
Indicates that an entity is connected or affiliated with a particular juristic or legal school of thought.
-
C.
hasJuristHolder
Indicates that a legal or judicial role, office, or responsibility is held or occupied by a particular jurist or legal authority.
-
D.
legalProfessionIncludes
Indicates that a legal profession or role encompasses, involves, or includes another specified legal function, specialization, or activity.
-
E.
numberOfLawyers
Indicates the quantity of lawyers associated with a given entity or situation.
- 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_69e2d7f682108190a1a7ca5fd485ee8a |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:23 a.m.