Triple

T14758307
Position Surface form Disambiguated ID Type / Status
Subject Pushkinsky District E346788 entity
Predicate contains P35 FINISHED
Object Tyarlevo
Tyarlevo is a rural locality in Russia that forms part of the Pushkinsky District near Saint Petersburg.
 E1118523 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: Tyarlevo | Statement: [Pushkinsky District, contains, Tyarlevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyarlevo
Context triple: [Pushkinsky District, contains, Tyarlevo]
  • A. Vytegra
    Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
  • B. Leunovo
    Leunovo is a small village located in the mountainous Mavrovo region of North Macedonia, known for its natural scenery and proximity to Mavrovo National Park.
  • C. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • D. Valtice
    Valtice is a historic town in the South Moravian Region of the Czech Republic, renowned for its Baroque chateau, vineyards, and role as a key part of the Lednice–Valtice cultural landscape.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • 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: Tyarlevo
Triple: [Pushkinsky District, contains, Tyarlevo]
Generated description
Tyarlevo is a rural locality in Russia that forms part of the Pushkinsky District near Saint Petersburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyarlevo
Target entity description: Tyarlevo is a rural locality in Russia that forms part of the Pushkinsky District near Saint Petersburg.
  • A. Vytegra
    Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
  • B. Leunovo
    Leunovo is a small village located in the mountainous Mavrovo region of North Macedonia, known for its natural scenery and proximity to Mavrovo National Park.
  • C. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • D. Valtice
    Valtice is a historic town in the South Moravian Region of the Czech Republic, renowned for its Baroque chateau, vineyards, and role as a key part of the Lednice–Valtice cultural landscape.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ced0e2c8190a13e3b43e4d35560 completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe15f78180819088c7be010ef27029 completed May 8, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69fe165c1f188190963f9b78272f41f7 completed May 8, 2026, 4:59 p.m.
Created at: April 10, 2026, 1:30 a.m.