Triple
T9067835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian courts |
E217287
|
entity |
| Predicate | hierarchyFeature |
P29386
|
FINISHED |
| Object | no stare decisis in strict sense |
—
|
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 stare decisis in strict sense | Statement: [Belgian courts, hierarchyFeature, no stare decisis in strict sense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hierarchyFeature Context triple: [Belgian courts, hierarchyFeature, no stare decisis in strict sense]
-
A.
spatialHierarchy
Indicates a spatial relationship in which one entity is positioned within, above, below, or otherwise hierarchically organized relative to another in physical space.
-
B.
isFeatureOf
chosen
Indicates that something functions as a characteristic, attribute, or component belonging to or describing another entity.
-
C.
hasHierarchyIn
Indicates that one entity occupies a higher or lower level within an ordered structure or chain of command relative to another entity in a specified context.
-
D.
level1Feature
Indicates that one entity possesses or is associated with a primary or first-tier feature of another entity.
-
E.
level2Feature
Indicates that an entity possesses or is associated with a secondary or intermediate-level feature within a hierarchical feature structure.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bf4f2881908c881e6ee7203994 |
completed | April 1, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:11 p.m.