Triple

T1847165
Position Surface form Disambiguated ID Type / Status
Subject Volgograd Metrotram E41308 entity
Predicate hasStation P35 FINISHED
Object Khimvolokno station
Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
E221678 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: Khimvolokno station | Statement: [Volgograd Metrotram, hasStation, Khimvolokno station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khimvolokno station
Context triple: [Volgograd Metrotram, hasStation, Khimvolokno station]
  • A. Yelshanka station
    Yelshanka station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • B. Komsomolskaya station
    Komsomolskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • C. Traktorozavodskaya station
    Traktorozavodskaya station is a stop on Volgograd’s Metrotram system serving the industrial Traktorozavodsky district of the city.
  • D. Kazan-Passazhirskaya railway station
    Kazan-Passazhirskaya railway station is the main passenger rail terminal in Kazan, Russia, serving as a key transport hub connecting the city with major destinations across the country.
  • E. Paveletsky railway station
    Paveletsky railway station is one of Moscow’s major rail terminals, serving long-distance, suburban, and high-speed trains and providing a key transport link between the city center and southern destinations.
  • 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: Khimvolokno station
Triple: [Volgograd Metrotram, hasStation, Khimvolokno station]
Generated description
Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khimvolokno station
Target entity description: Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • A. Yelshanka station
    Yelshanka station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • B. Komsomolskaya station
    Komsomolskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • C. Traktorozavodskaya station
    Traktorozavodskaya station is a stop on Volgograd’s Metrotram system serving the industrial Traktorozavodsky district of the city.
  • D. Kazan-Passazhirskaya railway station
    Kazan-Passazhirskaya railway station is the main passenger rail terminal in Kazan, Russia, serving as a key transport hub connecting the city with major destinations across the country.
  • E. Paveletsky railway station
    Paveletsky railway station is one of Moscow’s major rail terminals, serving long-distance, suburban, and high-speed trains and providing a key transport link between the city center and southern destinations.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb052e0a8819091bbc0da0e0a20fb completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0307ffac8190a9d335a975e88e9e completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae0386785c8190ae74e5f04a4809fc completed March 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69ae04253a80819092c112faddec1de1 completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:33 p.m.