Triple
T26848484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pikalov |
E675988
|
entity |
| Predicate | morphologicalEndingFunction |
P132766
|
FINISHED |
| Object | possessive or relational suffix in Russian |
—
|
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: possessive or relational suffix in Russian | Statement: [Pikalov, morphologicalEndingFunction, possessive or relational suffix in Russian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: morphologicalEndingFunction Context triple: [Pikalov, morphologicalEndingFunction, possessive or relational suffix in Russian]
-
A.
hasNounEnding
Indicates that something possesses or exhibits a particular noun-forming ending or suffix.
-
B.
morphologicalClass
Indicates the classification of an entity based on its morphological form or structural pattern.
-
C.
hasAdjectiveEnding
Indicates that something possesses or is marked by a particular adjective-like ending or suffix.
-
D.
hasInfinitiveVerbEnding
Indicates that a verb takes the infinitive form with a specific infinitive verb ending (such as “-to” in English or “-en” in German).
-
E.
morphologicalRole
chosen
Indicates the specific functional role that a morphological element (such as an affix or morpheme) plays within the structure or formation of a word.
- 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:14 a.m.