Triple

T3381500
Position Surface form Disambiguated ID Type / Status
Subject Wedding E71194 entity
Predicate hasPublicTransportLine P34620 FINISHED
Object U9
U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
E353649 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: U9 | Statement: [Wedding, hasPublicTransportLine, U9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U9
Context triple: [Wedding, hasPublicTransportLine, U9]
  • A. U-17
    U-17 is a youth football age category for players under 17 years old, commonly used in international and domestic competitions.
  • B. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • 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. U5
    U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
  • 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: U9
Triple: [Wedding, hasPublicTransportLine, U9]
Generated description
U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: U9
Target entity description: U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
  • A. U-17
    U-17 is a youth football age category for players under 17 years old, commonly used in international and domestic competitions.
  • B. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • 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. U5
    U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5e9af608190bfb228ef99a87bb7 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3344f9b448190aab1038ead60fa48 completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b338147cc0819095f00b28910e178a completed March 12, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69b338967c6c819090fe5f77bfa1978f completed March 12, 2026, 10:05 p.m.
Created at: March 8, 2026, 3:14 p.m.