Triple
T1498318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyborg |
E29736
|
entity |
| Predicate | changedSovereigntyIn |
P1701
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [Vyborg, changedSovereigntyIn, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changedSovereigntyIn Context triple: [Vyborg, changedSovereigntyIn, 1940]
-
A.
territorialChange
chosen
Indicates a change in control or ownership of geographic territory from one entity to another, often as a result of political, legal, or military events.
-
B.
formerSovereign
Indicates that an entity once held sovereign (ruling) authority over another entity but no longer does.
-
C.
wasKingdomUntil
Indicates that an entity functioned as a kingdom governing another entity up to a specified end time or event.
-
D.
countrySucceededBy
Indicates that one country is the direct successor state that replaces or follows another country in sovereignty or political continuity.
-
E.
laterSeatOfGovernment
Indicates that the referenced place served as a subsequent seat of government for the same political entity after an earlier one.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ef5ce88190a6b520525a6d42a3 |
completed | March 1, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.