Triple

T12639446
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt U-Bahn E301853 entity
Predicate hasLine P35 FINISHED
Object U3
U3 is one of the main rapid transit lines of the Frankfurt U-Bahn network, connecting central Frankfurt with its northern suburbs.
E994490 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: [Frankfurt U-Bahn, hasLine, U3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U3
Context triple: [Frankfurt U-Bahn, hasLine, 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. 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)."
  • E. U4
    U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
  • 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: [Frankfurt U-Bahn, hasLine, U3]
Generated description
U3 is one of the main rapid transit lines of the Frankfurt U-Bahn network, connecting central Frankfurt with its northern suburbs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: U3
Target entity description: U3 is one of the main rapid transit lines of the Frankfurt U-Bahn network, connecting central Frankfurt with its northern suburbs.
  • 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. 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)."
  • E. U4
    U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668754acc8190b5585dbd35387867 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697d8ac88190b4ead9ce47f3a705 completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f66a2fa350819091f12e16d59c2278 completed May 2, 2026, 9:18 p.m.
Created at: April 9, 2026, 5:16 p.m.