Triple

T11467223
Position Surface form Disambiguated ID Type / Status
Subject Munich U-Bahn E271808 entity
Predicate hasLine P35 FINISHED
Object 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.
 E928090 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: U7 | Statement: [Munich U-Bahn, hasLine, U7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U7
Context triple: [Munich U-Bahn, hasLine, U7]
  • A. U7
    U7 is a line of the Berlin U-Bahn rapid transit system, running in an east–west direction across the city.
  • B. U9
    U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
  • C. U7+ Alliance
    U7+ Alliance is an international coalition of university presidents committed to addressing global challenges and promoting higher education’s role in sustainable development and social responsibility.
  • D. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • E. U6
    U6 is a major Munich U-Bahn line running north–south across the city, connecting key districts and transport hubs.
  • 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: U7
Triple: [Munich U-Bahn, hasLine, U7]
Generated description
U7 is a supplementary line of the Munich U-Bahn rapid transit system, typically operating as a reinforcement or special service on existing routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: U7
Target entity description: U7 is a supplementary line of the Munich U-Bahn rapid transit system, typically operating as a reinforcement or special service on existing routes.
  • A. U7
    U7 is a line of the Berlin U-Bahn rapid transit system, running in an east–west direction across the city.
  • B. U9
    U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
  • C. U7+ Alliance
    U7+ Alliance is an international coalition of university presidents committed to addressing global challenges and promoting higher education’s role in sustainable development and social responsibility.
  • D. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • E. U6
    U6 is a major Munich U-Bahn line running north–south across the city, connecting key districts and transport hubs.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9429a308190810b485708d28617 completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f1593c2c8190885f80ad5eeba3ec completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f87bbd988190ac388a3c34b2e95a completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.