Triple
T12256809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodluck Jonathan |
E292123
|
entity |
| Predicate | officeEndTime (Governor of Bayelsa State) |
P103756
|
FINISHED |
| Object | 2007-05-29 |
—
|
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: 2007-05-29 | Statement: [Goodluck Jonathan, officeEndTime (Governor of Bayelsa State), 2007-05-29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Governor of Bayelsa State) Context triple: [Goodluck Jonathan, officeEndTime (Governor of Bayelsa State), 2007-05-29]
-
A.
officeEndTime (Governor of Nebraska)
Indicates the time at which the Governor of Nebraska’s term in office concludes.
-
B.
officeEndTime (Lieutenant Governor of Pennsylvania)
Indicates the time at which the Lieutenant Governor of Pennsylvania’s term in office concludes.
-
C.
officeEndTime (Governor of Maine)
Indicates the time at which the Governor of Maine’s term in office ends.
-
D.
officeEndTime (Governor of Kursk Oblast)
Indicates the time at which the Governor of Kursk Oblast’s term in office concludes.
-
E.
officeEndTime (Governor of New York)
Indicates the time at which a person’s tenure as Governor of New York officially ends.
- 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.