Triple
T3411670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 朝永振一郎 |
E71909
|
entity |
| Predicate | 所属機関 |
P10218
|
FINISHED |
| Object | 東京文理科大学 |
—
|
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: 東京文理科大学 | Statement: [朝永振一郎, 所属機関, 東京文理科大学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属機関 Context triple: [朝永振一郎, 所属機関, 東京文理科大学]
-
A.
leftOrganization
Indicates that an entity has departed from or is no longer affiliated with a particular organization.
-
B.
parentOrganization
Indicates that one organization is the higher-level or owning entity in an organizational hierarchy relative to another organization.
-
C.
subjectOrganization
chosen
Indicates that one entity serves as the organization to which another entity (such as a person, work, or activity) is affiliated or belongs.
-
D.
centralInstitutionOf
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
E.
governmentalUnit
Indicates that one entity functions as a governmental or administrative unit in relation to another entity.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb90a76288190b92ef3b26638cd47 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.