Triple
T2107146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsaritsyn |
E42419
|
entity |
| Predicate | reasonForRenamingToStalingrad |
P23791
|
FINISHED |
| Object | in honor of Joseph Stalin’s role in its defense |
—
|
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: in honor of Joseph Stalin’s role in its defense | Statement: [Tsaritsyn, reasonForRenamingToStalingrad, in honor of Joseph Stalin’s role in its defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForRenamingToStalingrad Context triple: [Tsaritsyn, reasonForRenamingToStalingrad, in honor of Joseph Stalin’s role in its defense]
-
A.
locationDuringStalingrad
Indicates that an entity was located at a specific place during the time period of the Battle of Stalingrad.
-
B.
roleAtStalingrad
Indicates the specific role, position, or function an entity held in relation to the Battle of Stalingrad.
-
C.
renamedAsConstantinopleBy
Indicates that one entity changed the name of another entity to "Constantinople."
-
D.
citySovietName
chosen
Indicates that a city has or had an official or commonly used name during the Soviet era.
-
E.
SovietOperationName
Indicates that a specific military or intelligence operation is identified by the codename assigned to it by Soviet authorities.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbadf12b88190acc513d8512777b2 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.