Triple
T15141679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State House, Gaborone |
E361697
|
entity |
| Predicate | residenceOfOfficeHolderTitle |
P117484
|
FINISHED |
| Object | President of the Republic of Botswana |
—
|
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: President of the Republic of Botswana | Statement: [State House, Gaborone, residenceOfOfficeHolderTitle, President of the Republic of Botswana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceOfOfficeHolderTitle Context triple: [State House, Gaborone, residenceOfOfficeHolderTitle, President of the Republic of Botswana]
-
A.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
B.
currentOfficeHolderTitle
Indicates the official title or position name held by the person who currently occupies a given office or role.
-
C.
typicalOfficeHolderTitle
Indicates the standard or commonly used title typically held by the office holder of a given position or role.
-
D.
politicalChiefTitle
Indicates the official title held by the leading political authority of a given entity or jurisdiction.
-
E.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:07 a.m.