Triple

T12578242
Position Surface form Disambiguated ID Type / Status
Subject Troparevo-Nikulino District E300264 entity
Predicate hasMetroStation P522 FINISHED
Object Rumyantsevo
Rumyantsevo is a Moscow Metro station serving the southwestern part of the city near the Troparevo-Nikulino area.
E1023454 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: Rumyantsevo | Statement: [Troparevo-Nikulino District, hasMetroStation, Rumyantsevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumyantsevo
Context triple: [Troparevo-Nikulino District, hasMetroStation, Rumyantsevo]
  • A. Yelizovo
    Yelizovo is a town on Russia’s Kamchatka Peninsula that functions as a key regional hub and gateway to the area’s volcanic and natural attractions.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Plakhino
    Plakhino is a rural locality in Russia best known as the birthplace of composer and conductor Alexander Alexandrov, creator of the Soviet and Russian national anthem.
  • D. Zayukovo
    Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
  • E. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • 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: Rumyantsevo
Triple: [Troparevo-Nikulino District, hasMetroStation, Rumyantsevo]
Generated description
Rumyantsevo is a Moscow Metro station serving the southwestern part of the city near the Troparevo-Nikulino area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rumyantsevo
Target entity description: Rumyantsevo is a Moscow Metro station serving the southwestern part of the city near the Troparevo-Nikulino area.
  • A. Yelizovo
    Yelizovo is a town on Russia’s Kamchatka Peninsula that functions as a key regional hub and gateway to the area’s volcanic and natural attractions.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Plakhino
    Plakhino is a rural locality in Russia best known as the birthplace of composer and conductor Alexander Alexandrov, creator of the Soviet and Russian national anthem.
  • D. Zayukovo
    Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
  • E. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eac6153c81909adff921117718d8 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6ebc1abf48190b2133273ab4b68fc completed May 3, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_69f6ec9fc2e08190b0fb52d3ba8fd9b6 completed May 3, 2026, 6:35 a.m.
Created at: April 9, 2026, 4:55 p.m.