Triple
T33107975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the International Criminal Tribunal for Rwanda |
E847244
|
entity |
| Predicate | appliesToLegalArea |
P113669
|
FINISHED |
| Object | international criminal 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: international criminal law | Statement: [President of the International Criminal Tribunal for Rwanda, appliesToLegalArea, international criminal law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToLegalArea Context triple: [President of the International Criminal Tribunal for Rwanda, appliesToLegalArea, international criminal law]
-
A.
legalCodeAppliesTo
Indicates that a particular legal code or statute is applicable to, or governs, a specified subject, situation, or entity.
-
B.
hasLegalSubjectArea
Indicates that something (such as a document, case, or rule) pertains to or is classified under a particular area of law.
-
C.
appliesToFieldOfLaw
chosen
Indicates that something is relevant or applicable to a particular field or branch of law.
-
D.
legalArea
Indicates the specific field or branch of law that a legal matter, case, or document pertains to.
-
E.
legalLicenseJurisdiction
Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
Created at: May 1, 2026, 1:26 a.m.