Triple

T10270411
Position Surface form Disambiguated ID Type / Status
Subject IMU Bulletin E240819 entity
Predicate hasPublisherHeadquartersIn P93047 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: [IMU Bulletin, hasPublisherHeadquartersIn, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin
Context triple: [IMU Bulletin, hasPublisherHeadquartersIn, 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 charismatic, calculating, and morally ambiguous mastermind and heist leader in the Spanish television series "Money Heist" (La Casa de Papel).
  • 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: hasPublisherHeadquartersIn
Context triple: [IMU Bulletin, hasPublisherHeadquartersIn, Berlin]
  • A. hasManufacturerHeadquartersIn
    Indicates that the location specified is the place where the manufacturer’s main headquarters is situated.
  • B. hasHeadquartersType
    Indicates the specific kind or classification of headquarters associated with an entity.
  • C. hasOrganizationHeadquartered
    Indicates that an organization has its main headquarters located in a specified place.
  • D. hasOrHadHeadquartersIn
    Indicates that an organization currently has, or previously had, its main headquarters located in a specified place.
  • E. hasHeadOfficeCity
    Indicates that an organization’s main or central administrative office is located in a particular city.
  • F. None of above. chosen

Provenance (5 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2872830819080fdfa816167d04c completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71ca702d48190adc39b85c0fe6334 completed April 9, 2026, 3:27 a.m.
PD Predicate disambiguation batch_69d4d1ef6e6c81908a8ee52e4d28127b completed April 7, 2026, 9:44 a.m.
PDg Predicate description generation batch_69d4d285812c8190ab910dc85c53eebf completed April 7, 2026, 9:46 a.m.
Created at: April 6, 2026, 11:35 a.m.