Triple
T15191339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitus |
E363016
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Vít
Vít is a Czech given name derived from the Latin name Vitus, commonly used in Czech-speaking countries.
|
E1142012
|
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: Vít | Statement: [Vitus, hasVariant, Vít]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vít Context triple: [Vitus, hasVariant, Vít]
-
A.
Viotá
Viotá is a rural municipality in the Cundinamarca department of Colombia, known for its coffee production and location in the Andean region southwest of Bogotá.
-
B.
Vladimirci
Vladimirci is a small town and municipality in western Serbia, situated in the Mačva region and known for its agricultural surroundings.
-
C.
Vica
Vica is a diminutive or nickname commonly used for the given name Ludovica.
-
D.
Veleslavín
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
-
E.
Vitryats
Vitryats are the inhabitants or natives of the French commune of Vitry-le-François in the Marne department.
- 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: Vít Triple: [Vitus, hasVariant, Vít]
Generated description
Vít is a Czech given name derived from the Latin name Vitus, commonly used in Czech-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vít Target entity description: Vít is a Czech given name derived from the Latin name Vitus, commonly used in Czech-speaking countries.
-
A.
Viotá
Viotá is a rural municipality in the Cundinamarca department of Colombia, known for its coffee production and location in the Andean region southwest of Bogotá.
-
B.
Vladimirci
Vladimirci is a small town and municipality in western Serbia, situated in the Mačva region and known for its agricultural surroundings.
-
C.
Vica
Vica is a diminutive or nickname commonly used for the given name Ludovica.
-
D.
Veleslavín
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
-
E.
Vitryats
Vitryats are the inhabitants or natives of the French commune of Vitry-le-François in the Marne department.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69feca98251081909c07f7ba4a863ad8 |
completed | May 9, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecb1cc7d08190a77e8a444334b688 |
completed | May 9, 2026, 5:50 a.m. |
Created at: April 10, 2026, 3:10 a.m.