Triple
T13716601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera |
E328915
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object |
Verka
Verka is a Slavic diminutive form of the female given name Vera, commonly used as an affectionate or informal variant.
|
E1058236
|
NE FINISHED |
How this triple was built (4 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: Verka | Statement: [Vera, hasDiminutiveForm, Verka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verka Context triple: [Vera, hasDiminutiveForm, Verka]
-
A.
VeRa
VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
-
B.
Veroni
Veroni is an Italian surname most notably associated with Adua Veroni, the first wife of singer Luciano Pavarotti.
-
C.
Versh
Versh is a character in William Faulkner’s novel "The Sound and the Fury," serving as a childhood caretaker and companion to the Compson children.
-
D.
Verran
Verran is a former municipality in Trøndelag county, Norway, known for its rural landscapes, forestry, and fjord-side settlements.
-
E.
Jost
Jost is a surname and given name of Germanic origin, used in various European countries and among their diasporas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Verka Triple: [Vera, hasDiminutiveForm, Verka]
Generated description
Verka is a Slavic diminutive form of the female given name Vera, commonly used as an affectionate or informal variant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verka Target entity description: Verka is a Slavic diminutive form of the female given name Vera, commonly used as an affectionate or informal variant.
-
A.
VeRa
VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
-
B.
Veroni
Veroni is an Italian surname most notably associated with Adua Veroni, the first wife of singer Luciano Pavarotti.
-
C.
Versh
Versh is a character in William Faulkner’s novel "The Sound and the Fury," serving as a childhood caretaker and companion to the Compson children.
-
D.
Verran
Verran is a former municipality in Trøndelag county, Norway, known for its rural landscapes, forestry, and fjord-side settlements.
-
E.
Jost
Jost is a surname and given name of Germanic origin, used in various European countries and among their diasporas.
- F. None of above. chosen
Provenance (5 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5878948190a2aaab2ba31bd1ed |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e9e6ff88190b031fb1403cacabc |
completed | May 3, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2d6e7ec81908a4cbc324e793c24 |
completed | May 3, 2026, 7:32 p.m. |
Created at: April 9, 2026, 9:54 p.m.