Triple

T17682578
Position Surface form Disambiguated ID Type / Status
Subject Václav E440805 entity
Predicate hasShortForm P43 FINISHED
Object Váša
Váša is a Czech diminutive form of the male given name Václav.
 E1281938 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: Váša | Statement: [Václav, hasShortForm, Váša]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Váša
Context triple: [Václav, hasShortForm, Váša]
  • A. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • B. Vlašim
    Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
  • C. Vosso
    Vosso is a river in western Norway known for flowing through Voss municipality and contributing to the region’s scenic fjord landscape.
  • D. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • E. Vaskina
    Vaskina is a small settlement located in the traditional Tsakonian region of the eastern Peloponnese in Greece.
  • 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: Váša
Triple: [Václav, hasShortForm, Váša]
Generated description
Váša is a Czech diminutive form of the male given name Václav.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Váša
Target entity description: Váša is a Czech diminutive form of the male given name Václav.
  • A. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • B. Vlašim
    Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
  • C. Vosso
    Vosso is a river in western Norway known for flowing through Voss municipality and contributing to the region’s scenic fjord landscape.
  • D. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • E. Vaskina
    Vaskina is a small settlement located in the traditional Tsakonian region of the eastern Peloponnese in Greece.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704514d481908aad4172fa930e6b completed April 19, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02232a4d488190b43226ba2f34e7c0 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022446c9d881908ffd0f48e06f5c0e completed May 11, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0224b3b33881909190dbb5752c758d completed May 11, 2026, 6:49 p.m.
Created at: April 10, 2026, 10:02 a.m.