Triple

T3381295
Position Surface form Disambiguated ID Type / Status
Subject U6 E71188 entity
Predicate hasStation P35 FINISHED
Object Mehringdamm E74577 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: Mehringdamm | Statement: [U6, hasStation, Mehringdamm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mehringdamm
Context triple: [U6, hasStation, Mehringdamm]
  • A. Mehringdamm chosen
    Mehringdamm is a Berlin U-Bahn station in the Kreuzberg district that serves as an interchange between lines U6 and U7.
  • B. Tempelhofer Damm
    Tempelhofer Damm is a major thoroughfare in Berlin’s Tempelhof district, running alongside the former Tempelhof Airport and connecting central Berlin with the city’s southern suburbs.
  • C. Brückenstraße
    Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
  • D. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • E. Friedrichstraße
    Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
  • 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_69ad85a7f80c8190a05e43013f298942 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_69b34bc3f13c81909bec375bd080b7f3 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.