Triple

T18182750
Position Surface form Disambiguated ID Type / Status
Subject Vitebsk Region E435331 entity
Predicate hasCity P316 FINISHED
Object Lepel
Lepel is a small historic town in northeastern Belarus known for its lakes and location within the Vitebsk Region.
 E1310931 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: Lepel | Statement: [Vitebsk Region, hasCity, Lepel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lepel
Context triple: [Vitebsk Region, hasCity, Lepel]
  • A. Lepe
    Lepe is a small coastal area and country park on the south coast of England, known for its shingle beach, views across the Solent, and historic D-Day embarkation remains.
  • B. Lepe
    Lepe is a coastal town and municipality in southwestern Spain known for its agriculture, especially strawberry production, and its beaches near the Atlantic Ocean.
  • C. Lepar
    Lepar is an island in Indonesia’s Bangka Belitung Islands province, known for its coastal landscapes and role in the region’s maritime and resource-based activities.
  • D. Lepetane
    Lepetane is a small coastal village in Montenegro situated at the entrance of the Bay of Kotor, known for its ferry connection across the bay.
  • E. Lappe
    Lappe is a small rural community in northwestern Ontario, Canada, situated near the city of Thunder Bay.
  • 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: Lepel
Triple: [Vitebsk Region, hasCity, Lepel]
Generated description
Lepel is a small historic town in northeastern Belarus known for its lakes and location within the Vitebsk Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lepel
Target entity description: Lepel is a small historic town in northeastern Belarus known for its lakes and location within the Vitebsk Region.
  • A. Lepe
    Lepe is a coastal town and municipality in southwestern Spain known for its agriculture, especially strawberry production, and its beaches near the Atlantic Ocean.
  • B. Lepe
    Lepe is a small coastal area and country park on the south coast of England, known for its shingle beach, views across the Solent, and historic D-Day embarkation remains.
  • C. Lepar
    Lepar is an island in Indonesia’s Bangka Belitung Islands province, known for its coastal landscapes and role in the region’s maritime and resource-based activities.
  • D. Lepetane
    Lepetane is a small coastal village in Montenegro situated at the entrance of the Bay of Kotor, known for its ferry connection across the bay.
  • E. Lappe
    Lappe is a small rural community in northwestern Ontario, Canada, situated near the city of Thunder Bay.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffc432c8190af53da5256dc476c completed April 19, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03980112908190bbc5371ce2b8a028 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0398dd1d50819087d16ad6f09ef063 completed May 12, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a03998369648190ae2e84ba56827473 completed May 12, 2026, 9:20 p.m.
Created at: April 10, 2026, 10:31 a.m.