Triple
T12256807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodluck Jonathan |
E292123
|
entity |
| Predicate | officeEndTime (Vice President of Nigeria) |
P103754
|
FINISHED |
| Object | 2010-05-06 |
—
|
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: 2010-05-06 | Statement: [Goodluck Jonathan, officeEndTime (Vice President of Nigeria), 2010-05-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Vice President of Nigeria) Context triple: [Goodluck Jonathan, officeEndTime (Vice President of Nigeria), 2010-05-06]
-
A.
officeEndTime (President of Mexico)
Indicates the time at which a President of Mexico’s term in office concludes.
-
B.
officeStartTime (Vice President of the United States)
Indicates the date and time at which a person begins serving in the role of Vice President of the United States.
-
C.
officeEndTime (Vice President of South Vietnam)
Indicates the time at which the Vice President of South Vietnam’s term in office concluded.
-
D.
officeEndTime (Administrator of UNDP)
Indicates the time at which the Administrator of UNDP’s term in office concludes.
-
E.
officeEndTime (President of the ECB)
Indicates the time at which a person's term in office as President of the ECB comes to an end.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d91d3654208190a2e0487dfa1d54da |
completed | April 10, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:52 p.m.