Triple
T31441416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent of Finland |
E802074
|
entity |
| Predicate | MannerheimTermStart |
P42979
|
FINISHED |
| Object | 1918 |
—
|
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: 1918 | Statement: [Regent of Finland, MannerheimTermStart, 1918]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MannerheimTermStart Context triple: [Regent of Finland, MannerheimTermStart, 1918]
-
A.
termStartAsMinisterPresidentOfPrussia
Indicates the date or point in time when an individual began serving in the role of Minister President of Prussia.
-
B.
Hans von Seeckt_termEnd
Indicates the date or time at which Hans von Seeckt’s term in an official position or role ended.
-
C.
startTime (Prime Minister of Sweden)
Indicates the point in time at which an individual begins serving as Prime Minister of Sweden.
-
D.
presidentTermStart
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
E.
startTimeAsHeadOfState
chosen
Indicates the date and time when an individual begins their tenure or service as a head of state.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:06 p.m.