Triple
T25930747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minquiers and Ecrehos case |
E653430
|
entity |
| Predicate | relatedCaseType |
P194510
|
FINISHED |
| Object | inter-state contentious case before the ICJ |
—
|
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: inter-state contentious case before the ICJ | Statement: [Minquiers and Ecrehos case, relatedCaseType, inter-state contentious case before the ICJ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedCaseType Context triple: [Minquiers and Ecrehos case, relatedCaseType, inter-state contentious case before the ICJ]
-
A.
relatedCase
Indicates that one legal case is connected or associated with another case, such as through shared facts, parties, issues, or procedural history.
-
B.
relatedCaseArea
Indicates that one case is associated with, pertains to, or falls within the subject matter or domain of another case area.
-
C.
associatedCourtCase
Indicates a relationship where one entity is linked to, or involved in, a particular court case.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
caseHoldingRelatedTo
Indicates a relationship where one entity’s holding, ownership, or control is legally or logically associated with a particular case or proceeding.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
| PDg | Predicate description generation | batch_69fd783e9e5c819087dec7fefa03700d |
completed | May 8, 2026, 5:44 a.m. |
Created at: April 22, 2026, 8:36 a.m.