Triple

T9194360
Position Surface form Disambiguated ID Type / Status
Subject S. Fischer Verlag E220665 entity
Predicate originalHeadquarters P21137 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: [S. Fischer Verlag, originalHeadquarters, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin
Context triple: [S. Fischer Verlag, originalHeadquarters, 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. 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.
  • D. Berlin
    Berlin is a borough in Camden County, New Jersey, known as a suburban community within the Philadelphia metropolitan area.
  • 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: originalHeadquarters
Context triple: [S. Fischer Verlag, originalHeadquarters, Berlin]
  • A. headquartersLocation
    Indicates the place where an organization’s main administrative center or principal office is located.
  • B. headquartersLocationOfFoundedOrganization
    Indicates that a location serves as the headquarters of an organization that was founded there.
  • C. headquartersFoundedAt chosen
    Indicates that an organization's headquarters was originally established at a specific location.
  • D. headquartersPreviousLocation
    Indicates that an entity’s headquarters used to be located at a specified place before moving to its current location.
  • E. employerHeadquarters
    Indicates the location where an employer’s main corporate offices or central administrative operations are based.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c3614c81909e26417e00fdfa11 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d336a081909c092230e4a46f4e completed April 4, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:25 p.m.