Triple
T4590945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinjiro Koizumi |
E103484
|
entity |
| Predicate | officeStartTime (Minister of the Environment) |
P58174
|
FINISHED |
| Object | 2019-09 |
—
|
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: 2019-09 | Statement: [Shinjiro Koizumi, officeStartTime (Minister of the Environment), 2019-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Minister of the Environment) Context triple: [Shinjiro Koizumi, officeStartTime (Minister of the Environment), 2019-09]
-
A.
officeStartTime (Chief of the Defence Force)
Indicates the time at which the person begins their term in the role of Chief of the Defence Force.
-
B.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
-
C.
officeStartForMinisterOfCulture
Indicates the date or event marking when someone begins their term in office as Minister of Culture.
-
D.
officeStartTime (House Republican Conference Chair)
Indicates the time at which the individual began serving in the role of House Republican Conference Chair.
-
E.
officeEndTime (Chief of the Defence Force)
Indicates the time at which a person's tenure as Chief of the Defence Force concludes.
- 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_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. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:11 p.m.