Triple

T21452462
Position Surface form Disambiguated ID Type / Status
Subject Vetrino Glacier E529246 entity
Predicate namedAfter P63 FINISHED
Object Vetrino
Vetrino is a town in northeastern Bulgaria whose name has been used for geographic features such as the Vetrino Glacier in Antarctica.
E1485019 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: Vetrino | Statement: [Vetrino Glacier, namedAfter, Vetrino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vetrino
Context triple: [Vetrino Glacier, namedAfter, Vetrino]
  • A. Vinzier
    Vinzier is a small commune in the Haute-Savoie department of southeastern France, situated in the Chablais region near Lake Geneva.
  • B. Vidronisi
    Vidronisi is a small Greek island located within the Prespa lake system, known for its protected natural environment and rich birdlife.
  • C. Governolo
    Governolo is a small Italian locality in Lombardy, known historically for its strategic position near the Po River and its role in regional military and commercial routes.
  • D. Vernio
    Vernio is a municipality in the Province of Prato in Tuscany, central Italy, known for its historic hilltop villages and Apennine landscape.
  • E. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • 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: Vetrino
Triple: [Vetrino Glacier, namedAfter, Vetrino]
Generated description
Vetrino is a town in northeastern Bulgaria whose name has been used for geographic features such as the Vetrino Glacier in Antarctica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vetrino
Target entity description: Vetrino is a town in northeastern Bulgaria whose name has been used for geographic features such as the Vetrino Glacier in Antarctica.
  • A. Vinzier
    Vinzier is a small commune in the Haute-Savoie department of southeastern France, situated in the Chablais region near Lake Geneva.
  • B. Vidronisi
    Vidronisi is a small Greek island located within the Prespa lake system, known for its protected natural environment and rich birdlife.
  • C. Governolo
    Governolo is a small Italian locality in Lombardy, known historically for its strategic position near the Po River and its role in regional military and commercial routes.
  • D. Vernio
    Vernio is a municipality in the Province of Prato in Tuscany, central Italy, known for its historic hilltop villages and Apennine landscape.
  • E. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d426d88190ae87ae9fac9c30a0 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90cd3108190a2385924b8544a00 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c9b5f08c8190b37c854f616944a9 completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca47743081908cf7f9211eeedcc6 completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 6:07 p.m.