Triple
T5849471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duke of Russia |
E129991
|
entity |
| Predicate | legalStatusAfter1917 |
P66712
|
FINISHED |
| Object | non-recognized by Soviet state |
—
|
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: non-recognized by Soviet state | Statement: [Grand Duke of Russia, legalStatusAfter1917, non-recognized by Soviet state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAfter1917 Context triple: [Grand Duke of Russia, legalStatusAfter1917, non-recognized by Soviet state]
-
A.
legalStatusAfter1919
Indicates the legal status or condition of an entity as it existed after the year 1919.
-
B.
legalStatusAfter1975
Indicates the legal condition or classification an entity held from the year 1975 onward, typically reflecting changes due to laws or regulations enacted at or after that time.
-
C.
legalStatusAfter1954
Indicates the legal status or condition that an entity holds from the year 1954 onward.
-
D.
legalStatusAfter1990
Indicates the legal status or condition of an entity as it applies from the year 1990 onward.
-
E.
legalStatusAfter1980
Indicates the legal status or condition that an entity holds specifically for the period after the year 1980.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 3:55 p.m.