Triple

T22183683
Position Surface form Disambiguated ID Type / Status
Subject Vienna U-Bahn line U4 E548235 entity
Predicate terminus P388 FINISHED
Object Heiligenstadt station NE NERFINISHED

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: Heiligenstadt station | Statement: [Vienna U-Bahn line U4, terminus, Heiligenstadt station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heiligenstadt station
Context triple: [Vienna U-Bahn line U4, terminus, Heiligenstadt station]
  • A. Heiligenstadt railway station chosen
    Heiligenstadt railway station is a major public transport hub in Vienna, Austria, serving as a key terminus and interchange for regional trains, the U4 metro line, and multiple bus and tram routes.
  • B. Ziegelstein station
    Ziegelstein station is a stop on the Nuremberg U-Bahn network serving the Ziegelstein district in Nuremberg, Germany.
  • C. Miltenberg station
    Miltenberg station is the main railway station serving the town of Miltenberg in Bavaria, Germany, providing regional rail connections along the Main River.
  • D. Jungfernheide station
    Jungfernheide station is a major public transport hub in Berlin’s Charlottenburg-Nord district, serving S-Bahn, U-Bahn, and regional rail lines.
  • E. Südkreuz station
    Südkreuz station is a major Berlin transport hub serving regional, long-distance, and S-Bahn trains in the southern part of the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa75440819084cbe9176b9edb47 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.