Triple

T20037805
Position Surface form Disambiguated ID Type / Status
Subject Schöneberg E497321 entity
Predicate hasS-BahnLine P58937 FINISHED
Object S1 NE NERFINISHED

How this triple was built (3 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: S1 | Statement: [Schöneberg, hasS-BahnLine, S1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S1
Context triple: [Schöneberg, hasS-BahnLine, S1]
  • A. S1 chosen
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • B. S1
    S1 is a key commuter rail line of the Stuttgart S-Bahn network, connecting central Stuttgart with its surrounding suburbs and regional destinations.
  • C. S1
    S1 is one of Munich’s S-Bahn commuter rail lines that connects the city center with its northwestern suburbs and Munich Airport.
  • D. S1
    S1 is the professional alias of Symbolyc One, a Grammy-winning American hip-hop and R&B record producer known for his work with artists like Kanye West and Beyoncé.
  • E. S1
    S1 is a rapid transit line of the Hamburg S-Bahn network in Germany, connecting key suburbs with central Hamburg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasS-BahnLine
Context triple: [Schöneberg, hasS-BahnLine, S1]
  • A. hasUBahnService
    Indicates that a location or facility is served by, or has access to, an underground metro (U-Bahn) transit line.
  • B. hasHighSpeedLine
    Indicates that there exists a high-speed rail line connection between the related entities.
  • C. hasTramTrainLine
    Indicates that there exists a tram-train line connection or service linking the related entities.
  • D. hasShuttleLine
    Indicates that there is a shuttle service or route operating between the related entities.
  • E. hasRailRoute chosen
    Indicates that there exists a rail-based transportation route or connection between the related entities.
  • F. None of above.

Provenance (3 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e935ac8190900cdb4f0cfde505 completed April 20, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69e54ce752748190a0a1ffddd0372271 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:36 p.m.