Triple
T33979544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velikaya knyazhna |
E871236
|
entity |
| Predicate | hasPluralFormInRussian |
P5088
|
FINISHED |
| Object | Velikie knyazhny |
—
|
NE NERFINISHED |
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: Velikie knyazhny | Statement: [Velikaya knyazhna, hasPluralFormInRussian, Velikie knyazhny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPluralFormInRussian Context triple: [Velikaya knyazhna, hasPluralFormInRussian, Velikie knyazhny]
-
A.
hasPluralForm
chosen
Indicates that one term is the plural grammatical form of another term.
-
B.
hasPluralFamilyNameForm
Indicates that an entity’s family name has a corresponding pluralized form used to refer to multiple members of the family.
-
C.
hasPlurality
Indicates that an entity or concept exists or is expressed in a plural form rather than a singular one.
-
D.
hasCaseForms
Indicates that an entity possesses multiple grammatical case variants or inflected forms associated with it.
-
E.
hasSingularHebrewForm
Indicates that an entity has a corresponding singular form in the Hebrew language.
- 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_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 1, 2026, 1:50 a.m.