Triple
T6357831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Stand on the Ugra River |
E143035
|
entity |
| Predicate | yearOfNoReturnForTribute |
P70170
|
FINISHED |
| Object | 1480 |
—
|
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: 1480 | Statement: [Great Stand on the Ugra River, yearOfNoReturnForTribute, 1480]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfNoReturnForTribute Context triple: [Great Stand on the Ugra River, yearOfNoReturnForTribute, 1480]
-
A.
yearOfDisappearance
Indicates the specific year in which an entity disappeared or ceased to be present.
-
B.
surrenderYear
Indicates the year in which an entity formally surrendered, ending its resistance or hostilities.
-
C.
returnYear
Indicates the year in which something is returned or given back to its original owner, place, or state.
-
D.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
-
E.
pardonYear
Indicates the year in which a pardon was officially granted for an offense or conviction.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f5bdd481909cf9db595ddb27df |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:32 p.m.