Triple
T14282805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogra Formula |
E354091
|
entity |
| Predicate | governorGeneralTermLength |
P113600
|
FINISHED |
| Object | 5 years |
—
|
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: 5 years | Statement: [Bogra Formula, governorGeneralTermLength, 5 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorGeneralTermLength Context triple: [Bogra Formula, governorGeneralTermLength, 5 years]
-
A.
governorGeneralDuringTerm
Indicates that one entity served as the governor-general of another entity during a specified term or time period.
-
B.
endTimeAsGovernorGeneral
Indicates the point in time at which an individual’s term or service as Governor General comes to an end.
-
C.
numberOfTermInOffice
Indicates the specific ordinal count of how many terms an entity has served in a particular office or position.
-
D.
governorGeneral
Indicates that one entity serves as the governor-general (the monarch’s representative or chief executive) in relation to another entity, typically a country or territory.
-
E.
termStartAsGovernorGeneralOfCanada
Indicates the date or event marking when an individual begins their term serving as Governor General of Canada.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697d9fd08190b0cd7a6a6737ba03 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.