Triple
T7228509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese constitutional law |
E154842
|
entity |
| Predicate | secondarySourceType |
P35195
|
FINISHED |
| Object | judicial precedents |
—
|
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: judicial precedents | Statement: [Japanese constitutional law, secondarySourceType, judicial precedents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondarySourceType Context triple: [Japanese constitutional law, secondarySourceType, judicial precedents]
-
A.
secondaryFundingSource
Indicates that an entity has an additional, non-primary source of financial support or funding.
-
B.
secondaryTo
Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
-
C.
hasSecondarySource
chosen
Indicates that an entity is supported, documented, or referenced by a secondary source rather than by a primary or original source.
-
D.
secondaryContentType
Indicates the type or category of additional, non-primary content associated with an entity or resource.
-
E.
secondaryTarget
Indicates that an entity serves as an additional or subordinate target in relation to a primary target within a given context or action.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9e0ba248190a57a3b4fa8b858c7 |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.