Triple
T1011619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leningrad, Russian SFSR, Soviet Union |
E21835
|
entity |
| Predicate | dateRenamedToSaintPetersburg |
P1742
|
FINISHED |
| Object | 1991-09-06 |
—
|
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: 1991-09-06 | Statement: [Leningrad, Russian SFSR, Soviet Union, dateRenamedToSaintPetersburg, 1991-09-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateRenamedToSaintPetersburg Context triple: [Leningrad, Russian SFSR, Soviet Union, dateRenamedToSaintPetersburg, 1991-09-06]
-
A.
renamedAsConstantinopleBy
Indicates that one entity changed the name of another entity to "Constantinople."
-
B.
locationRenamed
Indicates that a location has changed its name from one designation to another.
-
C.
dateCapitalMoved
Indicates the date on which a capital city was officially relocated from one place to another.
-
D.
renamedYear
chosen
Indicates the year in which an entity underwent a renaming or change of name.
-
E.
renamedTo
Indicates that an entity has been given a new name, specifying the target name it was changed to.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7be907c8190b5c6ea89257755a7 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b72207c08190a3dbb2aa7acbbc71 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.