Triple

T22793096
Position Surface form Disambiguated ID Type / Status
Subject Altes Rathaus (Bamberg) E564165 entity
Predicate UNESCOWorldHeritageSite P923 FINISHED
Object Town of Bamberg 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: Town of Bamberg | Statement: [Altes Rathaus (Bamberg), UNESCOWorldHeritageSite, Town of Bamberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Bamberg
Context triple: [Altes Rathaus (Bamberg), UNESCOWorldHeritageSite, Town of Bamberg]
  • A. Town of Bamberg chosen
    The Town of Bamberg is a historic Bavarian city renowned for its well-preserved medieval and baroque architecture, including its cathedral and picturesque old town spread over seven hills.
  • B. Tecklenburg
    Tecklenburg is a historic small town in North Rhine-Westphalia, Germany, known for its medieval architecture and open-air theater.
  • C. Hammelburg
    Hammelburg is a historic town in northern Bavaria, Germany, known as one of the country’s oldest wine-growing communities.
  • D. Burgkunstadt
    Burgkunstadt is a small Bavarian town in northern Germany known for its historic center and location in the Upper Franconia region.
  • E. Rummelsburg
    Rummelsburg is a locality in the Berlin borough of Lichtenberg, known for its lakeside setting along the Rummelsburger See and a mix of industrial heritage and newer residential developments.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd751f081909c7907c96c9906ea completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.