Triple
T33979525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velikaya knyazhna |
E871236
|
entity |
| Predicate | titleHolderMustBelongTo |
P55359
|
FINISHED |
| Object | imperial family of Russia |
—
|
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: imperial family of Russia | Statement: [Velikaya knyazhna, titleHolderMustBelongTo, imperial family of Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderMustBelongTo Context triple: [Velikaya knyazhna, titleHolderMustBelongTo, imperial family of Russia]
-
A.
titleHolderBelongsTo
Indicates that the holder of a title is associated with or belongs to a particular entity, such as an organization, position, or domain.
-
B.
titleHolderCouldBe
Indicates that a particular entity is a possible or potential holder of a specified title or position.
-
C.
titleHolderRequirement
chosen
Indicates that a certain condition or set of conditions must be met in order for an entity to hold or retain a particular title.
-
D.
titleHolderIsUsually
Indicates that an entity serving as a title holder is typically or most commonly a particular type or category of entity.
-
E.
titleHolderQualifiedFor
Indicates that the current holder of a title meets the necessary conditions or criteria to be eligible for that title.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
Created at: May 1, 2026, 1:50 a.m.