Triple

T15877718
Position Surface form Disambiguated ID Type / Status
Subject Lake Yalpuh E384992 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Ozerne
Ozerne is a settlement located on the shores of Lake Yalpuh in southwestern Ukraine.
 E1182818 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: Ozerne | Statement: [Lake Yalpuh, hasShorelineSettlement, Ozerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ozerne
Context triple: [Lake Yalpuh, hasShorelineSettlement, Ozerne]
  • A. Oziersk
    Oziersk is a town in Russia’s Kaliningrad Oblast, historically linked to nearby Polish regions and engaged in cross-border cooperation with places like Gołdap.
  • B. Zgorzelec
    Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
  • C. Gelnica
    Gelnica is a historic mining town in eastern Slovakia known for its medieval heritage and location in the Slovak Ore Mountains.
  • D. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • E. Zagorje
    Zagorje is a picturesque hilly region in northern Croatia known for its rural landscapes, thermal spas, and historic villages.
  • 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: Ozerne
Triple: [Lake Yalpuh, hasShorelineSettlement, Ozerne]
Generated description
Ozerne is a settlement located on the shores of Lake Yalpuh in southwestern Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ozerne
Target entity description: Ozerne is a settlement located on the shores of Lake Yalpuh in southwestern Ukraine.
  • A. Oziersk
    Oziersk is a town in Russia’s Kaliningrad Oblast, historically linked to nearby Polish regions and engaged in cross-border cooperation with places like Gołdap.
  • B. Zgorzelec
    Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
  • C. Gelnica
    Gelnica is a historic mining town in eastern Slovakia known for its medieval heritage and location in the Slovak Ore Mountains.
  • D. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • E. Zagorje
    Zagorje is a picturesque hilly region in northern Croatia known for its rural landscapes, thermal spas, and historic villages.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fec9d4819081efea504e1e3952 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb043b6d48190bf9a36a3e00403c0 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb13fdb6c819091c3ee5c1f199031 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb208aef881909b3a00e0015c27df completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.