Triple
T4590962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinjiro Koizumi |
E103484
|
entity |
| Predicate | hasSignaturePolicyArea |
P7262
|
FINISHED |
| Object | environmental policy |
—
|
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: environmental policy | Statement: [Shinjiro Koizumi, hasSignaturePolicyArea, environmental policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignaturePolicyArea Context triple: [Shinjiro Koizumi, hasSignaturePolicyArea, environmental policy]
-
A.
hasSignaturePolicy
Indicates that an entity is governed by a specific policy defining rules or requirements for creating, validating, or using signatures.
-
B.
hasPolicyArea
chosen
Indicates that an entity (such as a policy, program, or initiative) is associated with or pertains to a specific policy area or domain.
-
C.
hasPolicySupport
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
-
D.
hasSignatureStatusFor
Indicates that a specific entity holds or is assigned a particular signature-related status in relation to another entity or context.
-
E.
implementsPolicyArea
Indicates that an entity carries out, enforces, or operationalizes a specific policy area in practice.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5923c0c88190952137d448d474cf |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:11 p.m.