Triple

T3390413
Position Surface form Disambiguated ID Type / Status
Subject Otisstraße E71402 entity
Predicate hasAdjacentStation P231 FINISHED
Object Holzhauser Straße E71190 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: Holzhauser Straße | Statement: [Otisstraße, hasAdjacentStation, Holzhauser Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holzhauser Straße
Context triple: [Otisstraße, hasAdjacentStation, Holzhauser Straße]
  • A. Holzhauser Straße chosen
    Holzhauser Straße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
  • B. Braubachstraße
    Braubachstraße is a historic street in Frankfurt’s Altstadt known for its traditional architecture, shops, and proximity to key cultural and tourist sites.
  • C. Scharnweberstraße
    Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
  • D. Herbertstraße
    Herbertstraße is a short, gated street in Hamburg’s St. Pauli district known as one of Germany’s most famous red-light prostitution streets.
  • E. Schwartzkopffstraße
    Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb6682c708190b76a7a16cee7c5aa completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432f118f48190a81795289a20efe5 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:14 p.m.