Triple
T15803191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legal history of Poland |
E383145
|
entity |
| Predicate | earlyLawInfluencedBy |
P13177
|
FINISHED |
| Object | canon 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: canon law | Statement: [Legal history of Poland, earlyLawInfluencedBy, canon law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyLawInfluencedBy Context triple: [Legal history of Poland, earlyLawInfluencedBy, canon law]
-
A.
legalTraditionInfluenced
Indicates that one legal tradition has had a formative or shaping influence on the development, principles, or practices of another legal tradition.
-
B.
legalDoctrineInfluenced
chosen
Indicates that one legal doctrine has shaped, informed, or contributed to the development or interpretation of another legal doctrine.
-
C.
earlierLegalLanguage
Indicates that one piece of legal language predates another in time or version within a legal context.
-
D.
historicalLaw
Indicates that the referenced law or legal provision existed and was in effect during a past historical period, rather than being current.
-
E.
courtInfluence
Indicates that one party exerts or holds influence over decisions, outcomes, or behavior within a court or judicial setting.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b524835c8190ae286b2562f07756 |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.