Triple

T9942337
Position Surface form Disambiguated ID Type / Status
Subject Wilmersdorf E194112 entity
Predicate publicTransport P1288 FINISHED
Object U3 line E397966 NE FINISHED

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: U3 line | Statement: [Wilmersdorf, publicTransport, U3 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U3 line
Context triple: [Wilmersdorf, publicTransport, U3 line]
  • A. U3 line
    The U3 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northwestern suburbs.
  • B. U1 line
    The U1 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with several northern suburbs.
  • C. U4 line chosen
    The U4 line is one of Berlin's U-Bahn subway lines, running a short route in the inner city and connecting key stations including Nollendorfplatz.
  • D. U5 line
    The U5 line is a major Berlin U-Bahn route running east–west that connects central hubs like Alexanderplatz with eastern districts of the city.
  • E. U6 line
    The U6 line is a route of the Frankfurt U-Bahn rapid transit system that connects various districts across the city, including central hubs such as Hauptwache.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6124a188190b41feadb7b2f8922 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22911a9ac81909caa2afb30e4860b completed April 5, 2026, 9:19 a.m.
Created at: March 30, 2026, 8:45 p.m.