Triple

T16064982
Position Surface form Disambiguated ID Type / Status
Subject U-Bahn line U3 E389708 entity
Predicate lineNumber P1864 FINISHED
Object U3
U3 is a rapid transit line of the Munich U-Bahn system in Germany, serving multiple key districts and connecting important transport hubs across the city.
E1193527 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: U3 | Statement: [U-Bahn line U3, lineNumber, U3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U3
Context triple: [U-Bahn line U3, lineNumber, U3]
  • A. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • B. U3
    U3 is a line of the Berlin U-Bahn rapid transit system serving several districts in the German capital.
  • C. U3
    U3 is a light rail line of the Stuttgart Stadtbahn network serving various districts within the Stuttgart metropolitan area.
  • D. U3
    U3 is one of the main rapid transit lines of the Frankfurt U-Bahn network, connecting central Frankfurt with its northern suburbs.
  • E. Us3
    Us3 is a British jazz-rap group best known for blending hip-hop with sampled Blue Note jazz recordings, particularly on their hit single "Cantaloop (Flip Fantasia)."
  • 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: U3
Triple: [U-Bahn line U3, lineNumber, U3]
Generated description
U3 is a rapid transit line of the Munich U-Bahn system in Germany, serving multiple key districts and connecting important transport hubs across the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: U3
Target entity description: U3 is a rapid transit line of the Munich U-Bahn system in Germany, serving multiple key districts and connecting important transport hubs across the city.
  • A. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • B. U3
    U3 is a line of the Berlin U-Bahn rapid transit system serving several districts in the German capital.
  • C. U3
    U3 is a light rail line of the Stuttgart Stadtbahn network serving various districts within the Stuttgart metropolitan area.
  • D. U3
    U3 is one of the main rapid transit lines of the Frankfurt U-Bahn network, connecting central Frankfurt with its northern suburbs.
  • E. Us3
    Us3 is a British jazz-rap group best known for blending hip-hop with sampled Blue Note jazz recordings, particularly on their hit single "Cantaloop (Flip Fantasia)."
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837bec688190a77ad347600b6bdc completed April 17, 2026, 12:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ef6648190bf1fe216e78ef660 completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe5a4edfc8190831ddf8a4601764e completed May 10, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69ffe687c204819092a4a8de0b9d624d completed May 10, 2026, 1:59 a.m.
Created at: April 10, 2026, 4:57 a.m.