Triple
T3352787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōkubo Toshimichi |
E70534
|
entity |
| Predicate | domainOfActivity |
P13195
|
FINISHED |
| Object | politics |
—
|
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: politics | Statement: [Ōkubo Toshimichi, domainOfActivity, politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domainOfActivity Context triple: [Ōkubo Toshimichi, domainOfActivity, politics]
-
A.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
B.
fieldOfWork
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
C.
activityDomain
chosen
Indicates the general field, sector, or area of activity within which an entity operates or performs its main actions.
-
D.
entrepreneurialDomain
Indicates that an entity operates within, is associated with, or belongs to a particular field or sector of entrepreneurial activity.
-
E.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb23ec53881908a04c7f784fe8c43 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.