Triple
T7008977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State President of the Orange Free State |
E162530
|
entity |
| Predicate | historicalStateType |
P66217
|
FINISHED |
| Object | independent Boer republic |
—
|
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: independent Boer republic | Statement: [State President of the Orange Free State, historicalStateType, independent Boer republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalStateType Context triple: [State President of the Orange Free State, historicalStateType, independent Boer republic]
-
A.
historicalState
Indicates that an entity existed in a particular state or condition during a specified time in the past.
-
B.
historicalType
chosen
Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
-
C.
historicalStateRule
Indicates that one state historically governed, controlled, or exercised formal rule over another entity during a past period.
-
D.
historicalStatusOf
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
E.
historicalSuccessorState
Indicates that one state historically followed and replaced another state in time as its successor.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc38039c8190ab420d62bb11b4d9 |
completed | March 27, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c790288190b7cbbaa4a5f9c91d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.