Triple

T14266122
Position Surface form Disambiguated ID Type / Status
Subject Gesundbrunnen E353647 entity
Predicate hasLandmark P105 FINISHED
Object Gesundbrunnen-Center E610253 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: Gesundbrunnen-Center | Statement: [Gesundbrunnen, hasLandmark, Gesundbrunnen-Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gesundbrunnen-Center
Context triple: [Gesundbrunnen, hasLandmark, Gesundbrunnen-Center]
  • A. Gesundbrunnen-Center chosen
    Gesundbrunnen-Center is a large, modern shopping mall in Berlin offering a wide range of retail stores, dining options, and services.
  • B. Gesundbrunnen
    Gesundbrunnen is a locality in Berlin, Germany, known for its dense urban character, diverse population, and major transport hub around the Gesundbrunnen station.
  • C. Gesundbrunnen locality
    Gesundbrunnen locality is a densely populated, historically working-class neighborhood in Berlin known for its major transport hub, diverse communities, and mix of postwar housing and industrial heritage.
  • D. Kernochan Center
    Kernochan Center is a Columbia Law School research and advocacy center focused on intellectual property, copyright, and the intersection of law, media, and the arts.
  • E. Centrum
    Centrum is the historic city center district of Amsterdam, known for its canals, landmarks, and bustling markets.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.