Triple

T4413476
Position Surface form Disambiguated ID Type / Status
Subject Venta E94906 entity
Predicate hasTributary P415 FINISHED
Object Virvyčia
Virvyčia is a river in northwestern Lithuania that serves as one of the tributaries feeding into the Venta River.
E436953 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: Virvyčia | Statement: [Venta, hasTributary, Virvyčia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virvyčia
Context triple: [Venta, hasTributary, Virvyčia]
  • A. Skvyra
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • B. Vardzia
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • C. Molėtai
    Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
  • D. Kaišiadorys
    Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
  • E. Vardenis
    Vardenis is a town in eastern Armenia located near Lake Sevan, known as a local administrative and economic center in the Gegharkunik Province.
  • 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: Virvyčia
Triple: [Venta, hasTributary, Virvyčia]
Generated description
Virvyčia is a river in northwestern Lithuania that serves as one of the tributaries feeding into the Venta River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Virvyčia
Target entity description: Virvyčia is a river in northwestern Lithuania that serves as one of the tributaries feeding into the Venta River.
  • A. Skvyra
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • B. Vardzia
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • C. Molėtai
    Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
  • D. Kaišiadorys
    Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
  • E. Vardenis
    Vardenis is a town in eastern Armenia located near Lake Sevan, known as a local administrative and economic center in the Gegharkunik Province.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e7b30c819082ee781dd202dcc4 completed March 13, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f617012481908b8f1a9a1bc5efaf completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f674c94c81908327336dd4380d2e completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5f719d008819090a35e3597a0089f completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:29 p.m.