Triple

T10860908
Position Surface form Disambiguated ID Type / Status
Subject Kolomenskaya E256399 entity
Predicate connectsToStreet P36837 FINISHED
Object Prospekt Andropova
Prospekt Andropova is a major avenue in Moscow, Russia, running through the southern part of the city and serving as a key transport artery near the Kolomenskoye area.
E891240 NE FINISHED

How this triple was built (5 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: Prospekt Andropova | Statement: [Kolomenskaya, connectsToStreet, Prospekt Andropova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prospekt Andropova
Context triple: [Kolomenskaya, connectsToStreet, Prospekt Andropova]
  • A. Prospekt Mira
    Prospekt Mira is a central avenue and notable urban landmark in the city of Vladikavkaz, Russia.
  • B. Prospekt Mira
    Prospekt Mira is a Moscow Metro station on the circular Koltsevaya Line, known for its ornate Stalinist-era architecture and central location.
  • C. Havlicek
    Havlicek is a surname most famously associated with John Havlicek, a Hall of Fame basketball player for the Boston Celtics.
  • D. Sokoloff
    Sokoloff is a Russian-origin surname borne by various notable individuals in fields such as music, literature, and politics.
  • E. Buchinsky
    Buchinsky is the original family surname of American actor Charles Bronson, known for his tough-guy roles in action and vigilante films.
  • 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: Prospekt Andropova
Triple: [Kolomenskaya, connectsToStreet, Prospekt Andropova]
Generated description
Prospekt Andropova is a major avenue in Moscow, Russia, running through the southern part of the city and serving as a key transport artery near the Kolomenskoye area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prospekt Andropova
Target entity description: Prospekt Andropova is a major avenue in Moscow, Russia, running through the southern part of the city and serving as a key transport artery near the Kolomenskoye area.
  • A. Prospekt Mira
    Prospekt Mira is a central avenue and notable urban landmark in the city of Vladikavkaz, Russia.
  • B. Prospekt Mira
    Prospekt Mira is a Moscow Metro station on the circular Koltsevaya Line, known for its ornate Stalinist-era architecture and central location.
  • C. Havlicek
    Havlicek is a surname most famously associated with John Havlicek, a Hall of Fame basketball player for the Boston Celtics.
  • D. Sokoloff
    Sokoloff is a Russian-origin surname borne by various notable individuals in fields such as music, literature, and politics.
  • E. Buchinsky
    Buchinsky is the original family surname of American actor Charles Bronson, known for his tough-guy roles in action and vigilante films.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsToStreet
Context triple: [Kolomenskaya, connectsToStreet, Prospekt Andropova]
  • A. hasConnectingStreet chosen
    Indicates that two locations are linked by a street that directly connects them.
  • B. connectsToHighway
    Indicates that one location, road, or route has a direct access point or linkage to a highway.
  • C. hasNearbyStreet
    Indicates that one entity is located close to or adjacent to a street.
  • D. roadTerminusOf
    Indicates that a road ends at, or has its terminal point at, the referenced location or route.
  • E. linkedByRoadTo
    Indicates that two locations are directly connected to each other by a road suitable for travel.
  • F. None of above.

Provenance (6 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69d70d308dfc81908792f98cfb871392 completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:20 p.m.