Triple

T6173987
Position Surface form Disambiguated ID Type / Status
Subject S-Bahn station Berlin Grunewald E137772 entity
Predicate adjacentTo P224 FINISHED
Object Nikolassee station
Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
 E573010 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: Nikolassee station | Statement: [S-Bahn station Berlin Grunewald, adjacentTo, Nikolassee station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nikolassee station
Context triple: [S-Bahn station Berlin Grunewald, adjacentTo, Nikolassee station]
  • A. Frunzenskaya station
    Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
  • B. Khimvolokno station
    Khimvolokno 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. Yelshanka station
    Yelshanka station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • E. Viau station
    Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
  • 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: Nikolassee station
Triple: [S-Bahn station Berlin Grunewald, adjacentTo, Nikolassee station]
Generated description
Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nikolassee station
Target entity description: Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
  • A. Frunzenskaya station
    Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
  • B. Khimvolokno station
    Khimvolokno 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. Yelshanka station
    Yelshanka station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • E. Viau station
    Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d94c47481909745b2533926a1ca completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141b200788190bd8d968edba53e5f completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c148476d2481909da6cebc4f0422e2 completed March 23, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69c148c2be64819099170df84a904eb9 completed March 23, 2026, 2:05 p.m.
Created at: March 22, 2026, 4:18 p.m.