Triple
T27488193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 広田弘毅 |
E693800
|
entity |
| Predicate | 外交官としての勤務先 |
P2921
|
FINISHED |
| Object | 外務省 |
—
|
NE NERFINISHED |
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: 外務省 | Statement: [広田弘毅, 外交官としての勤務先, 外務省]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 外交官としての勤務先 Context triple: [広田弘毅, 外交官としての勤務先, 外務省]
-
A.
servedAsDiplomatIn
Indicates that a person held an official diplomatic role or position in a specified country, organization, or location.
-
B.
typeOfDiplomaticRole
Indicates the specific kind or category of diplomatic position or function that an entity holds in relation to another.
-
C.
diplomaticRole
chosen
Indicates that an entity holds or has held an official diplomatic position or function in relation to another entity or context.
-
D.
usedDiplomaticMission
Indicates that one entity employed or relied on a particular diplomatic mission as a means or channel to carry out some action or achieve some objective.
-
E.
locatedInDiplomaticMission
Indicates that one entity is physically situated within the premises or jurisdiction of a diplomatic mission (such as an embassy or consulate).
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e86625081909d5cc4b5fc1bd3d5 |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:03 p.m.