Triple

T20037792
Position Surface form Disambiguated ID Type / Status
Subject Schöneberg E497321 entity
Predicate hasLandmark P105 FINISHED
Object Gasometer Schöneberg 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: Gasometer Schöneberg | Statement: [Schöneberg, hasLandmark, Gasometer Schöneberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gasometer Schöneberg
Context triple: [Schöneberg, hasLandmark, Gasometer Schöneberg]
  • A. Gasometer Oberhausen
    Gasometer Oberhausen is a former gas storage tank in Germany’s Ruhr area that has been transformed into a prominent exhibition and cultural venue.
  • B. Schöneberg Gasometer chosen
    The Schöneberg Gasometer is a historic former gas storage structure in Berlin that has become a prominent industrial landmark and event venue.
  • C. Gasometer Vienna
    Gasometer Vienna is a complex of four former gas storage tanks in Vienna that have been converted into a distinctive mixed-use development featuring apartments, offices, and entertainment facilities.
  • D. Teufelsberg
    Teufelsberg is an artificial hill in Berlin built from World War II rubble, best known for its former U.S. listening station and panoramic city views.
  • E. Gasometer B
    Gasometer B is one of the four historic former gas storage tanks in Vienna’s Simmering district that have been converted into a mixed-use complex with residential, commercial, and cultural spaces.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e935ac8190900cdb4f0cfde505 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.