Triple
T30180542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courts of Requests of Ceylon |
E767187
|
entity |
| Predicate | handledCriminalMatters |
P88343
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Courts of Requests of Ceylon, handledCriminalMatters, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handledCriminalMatters Context triple: [Courts of Requests of Ceylon, handledCriminalMatters, no]
-
A.
haveCriminalLaw
Indicates that an entity possesses, applies, or is governed by a system or body of criminal law.
-
B.
isRelatedCriminalMatterOf
Indicates that one legal case or issue is connected to, arises from, or is otherwise associated with another in a criminal context.
-
C.
hasCriminalProcedureBasedOn
Indicates that one legal system’s criminal procedure is derived from, modeled on, or fundamentally influenced by another specified source or framework.
-
D.
handlesCivilMatter
Indicates that an entity is responsible for dealing with or adjudicating civil (non-criminal) legal matters involving disputes between parties.
-
E.
hasCriminalJurisdictionOver
chosen
Indicates that one authority or legal body holds the power to investigate, prosecute, and adjudicate criminal offenses committed within a specified scope or territory 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 7:26 p.m.