Triple
T24395523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyudmila |
E615016
|
entity |
| Predicate | hasDiminutivePattern |
P75599
|
FINISHED |
| Object | -a ending feminine Slavic diminutives |
—
|
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: -a ending feminine Slavic diminutives | Statement: [Lyudmila, hasDiminutivePattern, -a ending feminine Slavic diminutives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiminutivePattern Context triple: [Lyudmila, hasDiminutivePattern, -a ending feminine Slavic diminutives]
-
A.
hasDiminutive
Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
-
B.
hasAbbreviationPattern
Indicates that there is a systematic abbreviation relationship between two strings, where one follows a recognizable pattern derived from the other.
-
C.
hasPatronymicDerivative
Indicates that one name or term is derived from another by forming a patronymic, typically expressing descent or lineage from a person.
-
D.
hasDirectionalSuffix
Indicates that something is associated with or marked by a suffix expressing direction or orientation.
-
E.
hasNominalMorphology
chosen
Indicates that an entity possesses a system of nominal morphology, such as inflectional or derivational markers on nouns.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294d69b5c81908cf6143374934f5c |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:04 a.m.