Triple
T38237559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godswill Akpabio |
E1013663
|
entity |
| Predicate | termEndAsGovernorOfAkwaIbom |
P190193
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Godswill Akpabio, termEndAsGovernorOfAkwaIbom, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termEndAsGovernorOfAkwaIbom Context triple: [Godswill Akpabio, termEndAsGovernorOfAkwaIbom, 2015]
-
A.
termEndAsGovernorOfYucatán
Indicates the point in time when an individual's service as governor of Yucatán comes to an end.
-
B.
termEndAsGovernorOfTennessee
Indicates the date or point in time when an individual’s service as Governor of Tennessee came to an end.
-
C.
termEndAsGovernorOfOregon
Indicates the point in time when an individual's service as Governor of Oregon concludes.
-
D.
termEndAsGovernorOfWestBengal
Indicates the point in time when an individual's tenure as Governor of West Bengal comes to an end.
-
E.
termEndAsGovernorOfTasmania
Indicates that an individual's tenure in the office of Governor of Tasmania has concluded.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc330b4288190858b49d986160706 |
completed | May 7, 2026, 4:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.