Triple

T21870925
Position Surface form Disambiguated ID Type / Status
Subject French sector of Wedding E539998 entity
Predicate hasCapital P204 FINISHED
Object Berlin (sector headquarters within the district) NE NERFINISHED

How this triple was built (3 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: Berlin (sector headquarters within the district) | Statement: [French sector of Wedding, hasCapital, Berlin (sector headquarters within the district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin (sector headquarters within the district)
Context triple: [French sector of Wedding, hasCapital, Berlin (sector headquarters within the district)]
  • A. Borough of East Berlin
    The Borough of East Berlin is a small historic municipality in south-central Pennsylvania known for its colonial-era architecture and role in early American settlement.
  • B. Berlin government district
    The Berlin government district is the central area of Germany’s capital that houses key federal institutions, including the Bundestag in the Reichstag building and the offices of the Chancellor.
  • C. Western sectors of Berlin
    The Western sectors of Berlin were the Allied-controlled parts of the city during the Cold War, forming West Berlin and functioning as a politically separate enclave within East Germany.
  • D. Berlin Commercial District
    The Berlin Commercial District is the historic downtown core of Berlin, Maryland, known for its preserved 19th- and early 20th-century architecture, small businesses, and walkable main-street character.
  • E. Hermsdorf district of Berlin
    Hermsdorf district of Berlin is a largely residential, green northern neighborhood of Germany’s capital, known for its village-like atmosphere and proximity to forests and lakes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berlin (sector headquarters within the district)
Target entity description: Berlin (sector headquarters within the district) refers to the administrative center used by French authorities to govern their sector in the Berlin district of Wedding during the period of the city’s postwar division.
  • A. Borough of East Berlin
    The Borough of East Berlin is a small historic municipality in south-central Pennsylvania known for its colonial-era architecture and role in early American settlement.
  • B. Berlin government district
    The Berlin government district is the central area of Germany’s capital that houses key federal institutions, including the Bundestag in the Reichstag building and the offices of the Chancellor.
  • C. Western sectors of Berlin
    The Western sectors of Berlin were the Allied-controlled parts of the city during the Cold War, forming West Berlin and functioning as a politically separate enclave within East Germany.
  • D. Berlin Commercial District
    The Berlin Commercial District is the historic downtown core of Berlin, Maryland, known for its preserved 19th- and early 20th-century architecture, small businesses, and walkable main-street character.
  • E. Hermsdorf district of Berlin
    Hermsdorf district of Berlin is a largely residential, green northern neighborhood of Germany’s capital, known for its village-like atmosphere and proximity to forests and lakes.
  • F. None of above. chosen

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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33509d08190b33775abb84d5255 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.