Triple
T36994881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Custody Bank of Japan, Ltd. |
E915202
|
entity |
| Predicate | dataProcessingCapability |
P186878
|
FINISHED |
| Object | large-scale asset administration systems |
—
|
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: large-scale asset administration systems | Statement: [Custody Bank of Japan, Ltd., dataProcessingCapability, large-scale asset administration systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataProcessingCapability Context triple: [Custody Bank of Japan, Ltd., dataProcessingCapability, large-scale asset administration systems]
-
A.
dataProcessor
Indicates that one entity processes, transforms, or analyzes data on behalf of or in relation to another entity.
-
B.
dataProcessingStyle
Indicates the manner, method, or approach by which data is processed or handled in a given context.
-
C.
usesDataProcessing
Indicates that one entity applies data processing techniques or operations to data associated with another entity.
-
D.
levelOfProcessing
Indicates the degree or depth to which something is processed, handled, or transformed within a given system or context.
-
E.
dataProcessingInequality
Indicates that processing data through a (possibly noisy) transformation cannot increase the information one variable has about another, so the mutual information between them can only stay the same or decrease.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.