Triple
T8315001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Labour Court of Germany |
E194683
|
entity |
| Predicate | hearsCasesInLastInstance |
P81880
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Federal Labour Court of Germany, hearsCasesInLastInstance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hearsCasesInLastInstance Context triple: [Federal Labour Court of Germany, hearsCasesInLastInstance, yes]
-
A.
hearsCasesAgainst
Indicates that one party (typically a judicial body or official) formally listens to and considers legal cases brought against another party.
-
B.
hearsCasesUnder
Indicates that a judicial body or authority has the responsibility and power to adjudicate legal cases falling within a specified jurisdiction, category, or scope.
-
C.
hearsCasesBetween
Indicates that a judicial body or authority formally considers and adjudicates legal disputes involving two or more parties.
-
D.
hasCourtInEach
Indicates that an entity possesses or maintains a court in every member of a specified set of locations or jurisdictions.
-
E.
laterCourt
Indicates that one court decision or proceeding occurs at a later time than another court decision 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f540b2081908ccb1b2ed040c74e |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 5:55 p.m.