Triple
T27439083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okinori Kaya |
E690873
|
entity |
| Predicate | startTimeOfPosition_MinisterOfFinance_FirstTerm |
P78743
|
FINISHED |
| Object | 1941-07 |
—
|
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: 1941-07 | Statement: [Okinori Kaya, startTimeOfPosition_MinisterOfFinance_FirstTerm, 1941-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPosition_MinisterOfFinance_FirstTerm Context triple: [Okinori Kaya, startTimeOfPosition_MinisterOfFinance_FirstTerm, 1941-07]
-
A.
endTimeOfPositionHeld:Minister of Finance (first term)
Indicates the date and time when an individual's first term serving as Minister of Finance came to an end.
-
B.
termStart (as Minister of Finance)
Indicates the date or point in time when an individual began serving in the role of Minister of Finance.
-
C.
termAsMinisterStart
chosen
Indicates the date or point in time when an individual begins serving in a specific ministerial position.
-
D.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
-
E.
firstTermAsChiefMinisterStart
Indicates the date or time when an individual’s first term serving as Chief Minister began.
- 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_69ef5200fa0481908e28508d6e2c149e |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 27, 2026, 12:44 p.m.