Triple

T23226039
Position Surface form Disambiguated ID Type / Status
Subject Berlin–Lehrte railway corridor E581014 entity
Predicate connects P390 FINISHED
Object Lehrte 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: Lehrte | Statement: [Berlin–Lehrte railway corridor, connects, Lehrte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lehrte
Context triple: [Berlin–Lehrte railway corridor, connects, Lehrte]
  • A. Lehrte chosen
    Lehrte is a town in Lower Saxony, Germany, located east of Hanover and known historically for its railway junction and agricultural surroundings.
  • B. Uelzen
    Uelzen is a small town in Lower Saxony, Germany, known for its distinctive Hundertwasser-designed railway station and its role as a regional transport hub.
  • C. Helmstedt
    Helmstedt is a historic town in Lower Saxony, Germany, known for its medieval architecture and former university.
  • D. Northeim
    Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
  • E. Neubrandenburg
    Neubrandenburg is a historic city in northeastern Germany known for its well-preserved medieval brick Gothic architecture and distinctive city wall with multiple gate towers.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922e2d2c81908c0f3fa5df8a5c58 completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.