Triple

T14450099
Position Surface form Disambiguated ID Type / Status
Subject Schwartzkopffstraße, 10115 Berlin E358307 entity
Predicate near P350 FINISHED
Object Invalidenstraße E304988 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: Invalidenstraße | Statement: [Schwartzkopffstraße, 10115 Berlin, near, Invalidenstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Invalidenstraße
Context triple: [Schwartzkopffstraße, 10115 Berlin, near, Invalidenstraße]
  • A. Invalidenstraße chosen
    Invalidenstraße is a major historic street in central Berlin, Germany, running through several key districts and connecting important transport and government sites.
  • B. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • C. Bergmannstraße
    Bergmannstraße is a notable street in Berlin, Germany, known for its lively mix of cafés, shops, and historic sites including the Luisenstädtischer Friedhof cemetery.
  • D. Spichernstraße
    Spichernstraße is a Berlin U-Bahn station that serves as an interchange point on the city's underground network.
  • E. Beusselstraße
    Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916139888190be219678e29a2a3a completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5dc9b908190b1d7583810dc9c41 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 1:19 a.m.