Triple
T6264233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MITI and the Japanese Miracle |
E140372
|
entity |
| Predicate | examinesRelationshipWith |
P63064
|
FINISHED |
| Object | Japanese private sector |
—
|
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: Japanese private sector | Statement: [MITI and the Japanese Miracle, examinesRelationshipWith, Japanese private sector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examinesRelationshipWith Context triple: [MITI and the Japanese Miracle, examinesRelationshipWith, Japanese private sector]
-
A.
exploresRelationship
chosen
Indicates that one entity actively investigates, examines, or probes the nature, dynamics, or implications of its relationship with another entity.
-
B.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
C.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
D.
reportsRelationship
Indicates that one entity formally provides information, findings, or status about another entity or situation.
-
E.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0638c43808190a375e9f29f2b2138 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.