Triple
T20169644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel dos Santos |
E491922
|
entity |
| Predicate | startTimeOfPositionAtSonangol |
P66434
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Isabel dos Santos, startTimeOfPositionAtSonangol, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPositionAtSonangol Context triple: [Isabel dos Santos, startTimeOfPositionAtSonangol, 2016]
-
A.
positionStartTime
chosen
Indicates the time at which a position, role, or placement begins.
-
B.
endTimePosition
Indicates the temporal position or point in time at which an event, state, or interval comes to an end.
-
C.
startTimeDepicted
Indicates that the subject visually represents the starting time of an event, process, or state.
-
D.
startTimeOfPositionLordOfLesbos
Indicates the time at which an individual begins holding the position or title of Lord of Lesbos.
-
E.
startTime (position: Hydrographer of the Navy)
Indicates the point in time at which an individual begins holding the position of Hydrographer of the Navy.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66846f4ec81908b0dc6a6e0ec27dd |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.