Triple
T2051532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P. E. Svinhufvud |
E45578
|
entity |
| Predicate | termStartAsPrimeMinisterOfFinland |
P370
|
FINISHED |
| Object | 1917 |
—
|
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: 1917 | Statement: [P. E. Svinhufvud, termStartAsPrimeMinisterOfFinland, 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsPrimeMinisterOfFinland Context triple: [P. E. Svinhufvud, termStartAsPrimeMinisterOfFinland, 1917]
-
A.
primeMinisterTermStart
chosen
Indicates the date on which an individual officially begins serving as prime minister.
-
B.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
C.
startTimeOfSecondTermAsPrimeMinister
Indicates the date and time when an individual’s second term serving as prime minister begins.
-
D.
firstPrimeMinisterTermStart
Indicates the date on which an entity began serving its first term as prime minister.
-
E.
ageAtFirstBecomingPrimeMinister
Indicates the age a person was when they first assumed the office of prime minister.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb98f5f4881908d9aa0f10be44041 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.