Triple
T186417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district courts of Japan |
E3990
|
entity |
| Predicate | civilPanelComposition |
P2279
|
FINISHED |
| Object | usually one professional judge |
—
|
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: usually one professional judge | Statement: [district courts of Japan, civilPanelComposition, usually one professional judge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilPanelComposition Context triple: [district courts of Japan, civilPanelComposition, usually one professional judge]
-
A.
numberOfJudges
chosen
Indicates the total count of judges associated with a particular case, event, or entity.
-
B.
judicialBody
Indicates that an entity serves as a court or tribunal with authority to adjudicate legal disputes or interpret and apply the law.
-
C.
hasCommittee
Indicates that an entity is associated with or overseen by a specific committee.
-
D.
partyRepresentation
Indicates that one party acts on behalf of, or serves as the representative of, another party in a given context or proceeding.
-
E.
chamberInvolved
Indicates that a particular chamber (e.g., legislative or judicial body) participates in, is affected by, or plays a role in the referenced event, process, or relationship.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2594809288190b3d3b1283e7e0d00 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25670feb081908e26a2543ebe7b3a |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.