Triple
T4448357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prince of Russia |
E96343
|
entity |
| Predicate | titlePrevalentFromCentury |
P28473
|
FINISHED |
| Object | 12th century |
—
|
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: 12th century | Statement: [Grand Prince of Russia, titlePrevalentFromCentury, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titlePrevalentFromCentury Context triple: [Grand Prince of Russia, titlePrevalentFromCentury, 12th century]
-
A.
popularInCentury
Indicates that something was widely liked, influential, or commonly recognized during a specified century.
-
B.
usedInCentury
Indicates that something (such as an object, practice, or concept) was in use during a specified century.
-
C.
existsSinceCentury
chosen
Indicates that an entity has existed or been in effect since a specified century.
-
D.
testCenturies
Indicates that an entity has scored one or more centuries (100+ runs) in test cricket matches.
-
E.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d45b748190b09b7067fc6279b0 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:32 p.m.