Triple
T7228508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese constitutional law |
E154842
|
entity |
| Predicate | mainSourceType |
P75726
|
FINISHED |
| Object | written constitution |
—
|
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: written constitution | Statement: [Japanese constitutional law, mainSourceType, written constitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSourceType Context triple: [Japanese constitutional law, mainSourceType, written constitution]
-
A.
usesSourceType
Indicates that one entity makes use of, relies on, or operates based on a particular type or category of source.
-
B.
isMajorSourceOf
Indicates that one entity serves as a primary or dominant origin, cause, or provider of another entity or effect.
-
C.
sourceCategory
Indicates the classification or type from which something originates or is derived.
-
D.
hasMainSource
Indicates that one entity serves as the primary or principal source or origin for another entity.
-
E.
primarySources
Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69c6e8b5f6508190af28e06a7959d717 |
completed | March 27, 2026, 8:29 p.m. |
Created at: March 27, 2026, 2:54 p.m.