Triple

T2568814
Position Surface form Disambiguated ID Type / Status
Subject Einigungsvertrag E57615 entity
Predicate unterzeichnungsort P8839 FINISHED
Object Berlin E5567 NE FINISHED

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 | Statement: [Einigungsvertrag, unterzeichnungsort, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin
Context triple: [Einigungsvertrag, unterzeichnungsort, Berlin]
  • A. Berlin
    Berlin is a charismatic, calculating, and morally ambiguous mastermind and heist leader in the Spanish television series "Money Heist" (La Casa de Papel).
  • B. Berlin chosen
    Berlin is the capital and largest city of Germany, historically significant as a focal point of Cold War tensions and a major cultural, political, and economic center in Europe.
  • C. West Berlin
    West Berlin was the Western-aligned, enclave-like portion of Berlin surrounded by East Germany during the Cold War, symbolizing resistance to Soviet pressure and the division of Germany.
  • D. East Berlin
    East Berlin was the Soviet-controlled eastern sector of Berlin that served as the capital of East Germany during the Cold War.
  • E. Berlin Gesundbrunnen
    Berlin Gesundbrunnen is a major railway and transport hub in northern Berlin, serving regional, long-distance, and S-Bahn trains as well as local U-Bahn and bus connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: unterzeichnungsort
Context triple: [Einigungsvertrag, unterzeichnungsort, Berlin]
  • A. signatureLocation
    Indicates the place or position where a signature is written, recorded, or otherwise applied.
  • B. signatoryOffice
    Indicates the office or organizational unit that formally signs or authorizes a document, agreement, or record.
  • C. treatySignedPlace chosen
    Indicates the location where a treaty was formally signed or concluded.
  • D. signature
    Indicates that one entity has provided an official or personal signed endorsement, authorization, or acknowledgment on or for another entity.
  • E. placeSigned
    Indicates that an entity has signed or endorsed a document, agreement, or item at a particular place or location.
  • F. None of above.

Provenance (4 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd380d6e081909c124e8a0b7feef3 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc629e4588190b6e56329809ed72d completed March 10, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69abd0cc8d308190ae7aa32b8f5ae2e5 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.