Triple
T33979528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velikaya knyazhna |
E871236
|
entity |
| Predicate | usedForChildrenOf |
P191381
|
FINISHED |
| Object | Russian emperor |
—
|
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: Russian emperor | Statement: [Velikaya knyazhna, usedForChildrenOf, Russian emperor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForChildrenOf Context triple: [Velikaya knyazhna, usedForChildrenOf, Russian emperor]
-
A.
usedAsParentFor
Indicates that one entity functions as the parent or container for another entity within a hierarchical or structural relationship.
-
B.
usedForYoungerChildren
Indicates that something is intended or suitable for use by younger children rather than older children or adults.
-
C.
onlyChildOf
Indicates that one person is the sole child of another, with no siblings.
-
D.
includedChildren
Indicates that certain child entities are contained within, or form part of, a specified parent entity.
-
E.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 1, 2026, 1:50 a.m.