Triple
T33922147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuda Yasuo |
E869642
|
entity |
| Predicate | chiefCabinetSecretaryStartTime |
P177911
|
FINISHED |
| Object | 2000-10-27 |
—
|
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: 2000-10-27 | Statement: [Fukuda Yasuo, chiefCabinetSecretaryStartTime, 2000-10-27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chiefCabinetSecretaryStartTime Context triple: [Fukuda Yasuo, chiefCabinetSecretaryStartTime, 2000-10-27]
-
A.
termAsMinisterStart
Indicates the date or point in time when an individual begins serving in a specific ministerial position.
-
B.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
-
C.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
D.
headOfGovernmentStart
Indicates the date or point in time when an individual begins serving as the head of government of a political entity.
-
E.
firstSecretaryTermStart
Indicates the date on which an entity’s first term as a secretary officially begins.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f7064d37388190993b2a7305a02b9f |
completed | May 3, 2026, 8:24 a.m. |
Created at: May 1, 2026, 1:49 a.m.