Triple
T31441414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent of Finland |
E802074
|
entity |
| Predicate | SvinhufvudTermStart |
P171878
|
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, SvinhufvudTermStart, 1918]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SvinhufvudTermStart Context triple: [Regent of Finland, SvinhufvudTermStart, 1918]
-
A.
firstTermStart
Indicates that an entity marks the starting point or initial term in an ordered sequence, period, or agreement.
-
B.
mlaTermStart
Indicates the date or point in time when a specific term, period, or agreement begins.
-
C.
legalTermStart
Indicates that a specified legal term, period, or contractual timeframe begins at a particular point in time.
-
D.
termStartOfSecondHolder
Indicates that the term or tenure being referred to marks the beginning of the second holder’s period in that role or relationship.
-
E.
governmentTermStart
Indicates the date or point in time when a particular government’s term in office officially begins.
- 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_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. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 9:06 p.m.