Triple

T21325053
Position Surface form Disambiguated ID Type / Status
Subject Bornheim Mitte E525729 entity
Predicate servedByLine P1293 FINISHED
Object U7 NE NERFINISHED

How this triple was built (2 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: U7 | Statement: [Bornheim Mitte, servedByLine, U7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U7
Context triple: [Bornheim Mitte, servedByLine, U7]
  • A. U7 chosen
    U7 is a line of the Berlin U-Bahn rapid transit system, running in an east–west direction across the city.
  • B. U7
    U7 is a line of the Frankfurt U-Bahn rapid transit network serving various districts across the city.
  • C. U7
    U7 is a supplementary line of the Munich U-Bahn rapid transit system, typically operating as a reinforcement or special service on existing routes.
  • D. U7
    U7 is a light rail line of the Stuttgart Stadtbahn network in Germany, providing urban transit service across parts of the Stuttgart metropolitan area.
  • E. U9
    U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed7732c8190a0e7aec6e7cbcef2 completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:41 p.m.