Triple

T8574211
Position Surface form Disambiguated ID Type / Status
Subject Eastern Germany E203004 entity
Predicate includesPartOfState P11085 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: [Eastern Germany, includesPartOfState, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berlin
Context triple: [Eastern Germany, includesPartOfState, Berlin]
  • A. 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.
  • B. Berlin
    Berlin is a major Ethereum network upgrade that introduced various gas cost optimizations and transaction processing improvements to enhance the blockchain’s efficiency and performance.
  • C. Berlin
    Berlin is a borough in Camden County, New Jersey, known as a suburban community within the Philadelphia metropolitan area.
  • D. Berlin
    Berlin is a charismatic, calculating, and morally ambiguous mastermind and heist leader in the Spanish television series "Money Heist" (La Casa de Papel).
  • E. Berlin AB
    Berlin AB is the central fare zone of Berlin’s public transport network, covering the inner city and surrounding urban areas served by the Verkehrsverbund Berlin-Brandenburg (VBB).
  • 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: includesPartOfState
Context triple: [Eastern Germany, includesPartOfState, Berlin]
  • A. includesStateOrProvince chosen
    Indicates that one entity geographically contains or encompasses a specific state or province within its boundaries.
  • B. usedByUSStatePortion
    Indicates that something (such as a resource, facility, or infrastructure) is utilized or operated by a specific portion or subdivision of a U.S. state.
  • C. isInUSState
    Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
  • D. refersToStateInRegion
    Indicates that one entity denotes or references a specific state located within a particular region.
  • E. isStatewide
    Indicates that something applies uniformly across an entire state or is valid throughout the whole state jurisdiction.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea947f188190af469babaa73ddf6 completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc6239a48190b8b4370341ec62c5 completed April 2, 2026, 8:06 p.m.
PD Predicate disambiguation batch_69cbd11856048190a1ce4b83a38f6965 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:21 p.m.