Triple
T106041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of Japan |
E2138
|
entity |
| Predicate | appointmentOfChiefJustice |
P257
|
FINISHED |
| Object | by the Emperor of Japan |
—
|
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: by the Emperor of Japan | Statement: [Supreme Court of Japan, appointmentOfChiefJustice, by the Emperor of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointmentOfChiefJustice Context triple: [Supreme Court of Japan, appointmentOfChiefJustice, by the Emperor of Japan]
-
A.
chiefJustice
Indicates that one entity serves as the chief justice (the highest-ranking judicial officer) of another entity, such as a court or jurisdiction.
-
B.
chiefJusticeSinceYear
Indicates that an entity has held the position of chief justice starting from a specified year.
-
C.
appointedBy
chosen
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
D.
hasChiefExecutiveRole
Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
-
E.
firstInOfficeTo
Indicates that one entity was the earliest or first to hold a particular office or position in relation to another entity or context.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256ec650c8190bee2067e37065527 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563d33788190999d471b486d5603 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.