Triple
T38156367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umaru Musa Yar'Adua |
E952897
|
entity |
| Predicate | governorStartTime |
P25420
|
FINISHED |
| Object | 1999-05-29 |
—
|
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: 1999-05-29 | Statement: [Umaru Musa Yar'Adua, governorStartTime, 1999-05-29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorStartTime Context triple: [Umaru Musa Yar'Adua, governorStartTime, 1999-05-29]
-
A.
termStartAsGovernor
chosen
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
B.
currentGovernorStartDate
Indicates the date on which the entity’s current governorship officially began.
-
C.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
-
D.
startTime (Governor of Virginia)
Indicates the point in time at which a person begins serving as Governor of Virginia.
-
E.
startTimeAsLieutenantGovernor
Indicates the date and time at which an individual began serving in the role of lieutenant governor.
- 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.