Triple

T3381378
Position Surface form Disambiguated ID Type / Status
Subject Holzhauser Straße E71190 entity
Predicate partOf P40 FINISHED
Object U6 line E308543 NE FINISHED

How this triple was built (2 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: U6 line | Statement: [Holzhauser Straße, partOf, U6 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U6 line
Context triple: [Holzhauser Straße, partOf, U6 line]
  • A. U6 line chosen
    The U6 line is a route of the Frankfurt U-Bahn rapid transit system that connects various districts across the city, including central hubs such as Hauptwache.
  • B. U7 line
    The U7 line is a route of the Frankfurt U-Bahn rapid transit system that runs across the city and serves major central stations including Hauptwache.
  • C. S6 line
    The S6 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area and connecting central Frankfurt with surrounding suburbs and towns.
  • D. U1 line
    The U1 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with several northern suburbs.
  • E. U3 line
    The U3 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northwestern suburbs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 8, 2026, 3:14 p.m.