Triple

T3966859
Position Surface form Disambiguated ID Type / Status
Subject Nürnberg Hauptbahnhof E92236 entity
Predicate hasU-BahnLines P17559 FINISHED
Object U1 E90418 NE FINISHED

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: U1 | Statement: [Nürnberg Hauptbahnhof, hasU-BahnLines, U1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U1
Context triple: [Nürnberg Hauptbahnhof, hasU-BahnLines, U1]
  • A. U1 chosen
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • B. U5
    U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
  • C. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • D. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • E. U21
    U21 is a global network of leading research-intensive universities that collaborate to enhance higher education and research through international partnerships and initiatives.
  • 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: hasU-BahnLines
Context triple: [Nürnberg Hauptbahnhof, hasU-BahnLines, U1]
  • A. subwayLine
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • B. hasUndergroundConnections
    Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
  • C. hasTramway
    Indicates that a location or area is served by, contains, or is connected to a tramway system.
  • D. hasShuttleLine
    Indicates that there is a shuttle service or route operating between the related entities.
  • E. hasMetroLine chosen
    Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
  • F. None of above.

Provenance (4 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533c189a88190b3a81c63621b98ac completed March 14, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69aef8f252b081909749d40440d372b2 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:32 p.m.