Triple

T11630957
Position Surface form Disambiguated ID Type / Status
Subject Hamburg City Hall E276395 entity
Predicate locatedNear P294 FINISHED
Object Jungfernstieg E852306 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: Jungfernstieg | Statement: [Hamburg City Hall, locatedNear, Jungfernstieg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jungfernstieg
Context triple: [Hamburg City Hall, locatedNear, Jungfernstieg]
  • A. Jungfernstieg chosen
    Jungfernstieg is a prominent waterfront promenade and major shopping street in central Hamburg, Germany, known for its upscale stores and views over the Binnenalster lake.
  • B. Ullsteinstraße
    Ullsteinstraße is a Berlin U-Bahn station on the U6 line located in the Tempelhof area of the city.
  • C. Jungfernstieg shopping district
    Jungfernstieg shopping district is a prominent upscale retail and promenade area in central Hamburg, Germany, known for its luxury shops, historic boulevard, and scenic waterfront setting.
  • D. Schönhauser Allee
    Schönhauser Allee is a major transport hub and street in Berlin’s Prenzlauer Berg district, served by both the city’s S-Bahn and U-Bahn networks.
  • E. Mehringdamm
    Mehringdamm is a Berlin U-Bahn station in the Kreuzberg district that serves as an interchange between lines U6 and U7.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a127b2688190ae3a340f851e834b completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87a20af481909b47775c7cb6ec3b completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.