Triple
T22658061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | يوسف والي |
E559283
|
entity |
| Predicate | بداية تولي منصب وزير الزراعة |
P78743
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [يوسف والي, بداية تولي منصب وزير الزراعة, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: بداية تولي منصب وزير الزراعة Context triple: [يوسف والي, بداية تولي منصب وزير الزراعة, 1984]
-
A.
内大臣在任期間開始
Indicates the time when a person’s tenure in the position of Lord Keeper of the Privy Seal (内大臣) begins.
-
B.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
-
C.
termAsMinisterStart
chosen
Indicates the date or point in time when an individual begins serving in a specific ministerial position.
-
D.
termStart (as Minister of Finance)
Indicates the date or point in time when an individual began serving in the role of Minister of Finance.
-
E.
termStartAsAssistantSecretaryOfStateForAfricanAffairs
Indicates the date or point in time when someone began serving as the Assistant Secretary of State for African Affairs.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765d10588190b4574f3e64617cd4 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.