Triple
T35378439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tariefcommissie (Netherlands) |
E1022578
|
entity |
| Predicate | referredToCourt |
P124421
|
FINISHED |
| Object | Court of Justice of the European Union |
—
|
NE NERFINISHED |
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: Court of Justice of the European Union | Statement: [Tariefcommissie (Netherlands), referredToCourt, Court of Justice of the European Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredToCourt Context triple: [Tariefcommissie (Netherlands), referredToCourt, Court of Justice of the European Union]
-
A.
introducedToCourt
Indicates that an entity has been formally presented or brought before a court or judicial body for consideration or action.
-
B.
broughtToCourtBy
Indicates that a person or entity is taken to court or legally prosecuted by another party.
-
C.
requestedFromCourt
Indicates that a party has formally asked a court to take a specific action or provide a particular ruling or document.
-
D.
affectedCourt
Indicates that a particular court is impacted or influenced by a specified action, decision, or legal matter.
-
E.
destinationCourt
chosen
Indicates the court or judicial body to which a case, appeal, or legal matter is directed or transferred.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:03 p.m.