Triple

T5586379
Position Surface form Disambiguated ID Type / Status
Subject Humboldt Forum E146766 entity
Predicate hasPart P35 FINISHED
Object Schlüterhof courtyard E332561 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: Schlüterhof courtyard | Statement: [Humboldt Forum, hasPart, Schlüterhof courtyard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schlüterhof courtyard
Context triple: [Humboldt Forum, hasPart, Schlüterhof courtyard]
  • A. Schlüterhof courtyard chosen
    The Schlüterhof courtyard is the grand baroque inner courtyard of Berlin City Palace, renowned for its ornate façades designed by architect Andreas Schlüter.
  • B. Schickenhof
    Schickenhof is a small locality in Germany best known as the birthplace of Nobel Prize–winning physicist Johannes Stark.
  • C. Burgplatz
    Burgplatz is a historic central square in Braunschweig, Germany, known for its medieval architecture and prominent landmarks such as Dankwarderode Castle and the Brunswick Lion.
  • D. Hartmannshof
    Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
  • E. Riedergarten
    Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020871a3c8190991f291295cadfa5 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286558b48190a8907c06111a48f3 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.