Triple
T23256520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monarch of Sierra Leone |
E581888
|
entity |
| Predicate | successorOfficeHolderTitle |
P33240
|
FINISHED |
| Object | President of the Republic of Sierra Leone |
—
|
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 Sierra Leone | Statement: [Monarch of Sierra Leone, successorOfficeHolderTitle, President of the Republic of Sierra Leone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorOfficeHolderTitle Context triple: [Monarch of Sierra Leone, successorOfficeHolderTitle, President of the Republic of Sierra Leone]
-
A.
successorOfficeHolder
chosen
Indicates that one office holder directly follows another in occupying the same official position.
-
B.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
C.
successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
-
D.
currentOfficeHolderTitle
Indicates the official title or position name held by the person who currently occupies a given office or role.
-
E.
successorOfficeEstablished
Indicates that a new office or position was formally created to replace or succeed a previous one.
- F. None of above.
Provenance (3 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c4905c819099ca21c6529413ac |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.