Triple

T16273153
Position Surface form Disambiguated ID Type / Status
Subject Mytishchinsky District E395051 entity
Predicate hasSettlement P1068 FINISHED
Object Zeleny Bor
Zeleny Bor is a rural settlement located within the Mytishchinsky District of Moscow Oblast, Russia.
E1210621 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: Zeleny Bor | Statement: [Mytishchinsky District, hasSettlement, Zeleny Bor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeleny Bor
Context triple: [Mytishchinsky District, hasSettlement, Zeleny Bor]
  • A. Bijelo Polje
    Bijelo Polje is a prominent town in northeastern Montenegro known as one of the main urban and cultural centers of the Sandžak region.
  • B. Bjelolasica
    Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
  • C. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • D. Rostuša
    Rostuša is a mountain village in western North Macedonia, situated within the scenic and protected area of Mavrovo National Park.
  • E. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • 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: Zeleny Bor
Triple: [Mytishchinsky District, hasSettlement, Zeleny Bor]
Generated description
Zeleny Bor is a rural settlement located within the Mytishchinsky District of Moscow Oblast, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zeleny Bor
Target entity description: Zeleny Bor is a rural settlement located within the Mytishchinsky District of Moscow Oblast, Russia.
  • A. Bijelo Polje
    Bijelo Polje is a prominent town in northeastern Montenegro known as one of the main urban and cultural centers of the Sandžak region.
  • B. Bjelolasica
    Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
  • C. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • D. Rostuša
    Rostuša is a mountain village in western North Macedonia, situated within the scenic and protected area of Mavrovo National Park.
  • E. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460b22d88190bdc7cf509cf74198 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00354ca28081908f993619a332cbf6 completed May 10, 2026, 7:35 a.m.
NEDg Description generation batch_6a00373d262c8190b85e451ca0763504 completed May 10, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0037e43a2c8190993447ade595f6e6 completed May 10, 2026, 7:46 a.m.
Created at: April 10, 2026, 5:05 a.m.