Triple

T10739349
Position Surface form Disambiguated ID Type / Status
Subject SWISS E253279 entity
Predicate hasOperatorHeadquartersIn P95731 FINISHED
Object Zurich E13407 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: Zurich | Statement: [SWISS, hasOperatorHeadquartersIn, Zurich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurich
Context triple: [SWISS, hasOperatorHeadquartersIn, Zurich]
  • A. Zurich chosen
    Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
  • B. Stettlen
    Stettlen is a municipality in the canton of Bern in Switzerland, situated just east of the city of Bern and functioning largely as a residential and commuter community.
  • C. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • D. Geneva
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • E. Geneva
    Geneva is a small city in northeastern Ohio situated along Lake Erie, known for its wineries, tourism, and location within the Rust Belt region.
  • 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: hasOperatorHeadquartersIn
Context triple: [SWISS, hasOperatorHeadquartersIn, Zurich]
  • A. hasManufacturerHeadquartersIn
    Indicates that the location specified is the place where the manufacturer’s main headquarters is situated.
  • B. hasPublisherHeadquartersIn
    Indicates that the main corporate headquarters of a publishing entity is located in a specified place.
  • C. hasOwnerHeadquartersIn
    Indicates that the owning entity’s main headquarters is located in the specified place.
  • D. hasHeadquartersType
    Indicates the specific kind or classification of headquarters associated with an entity.
  • E. hasOrganizationHeadquartered
    Indicates that an organization has its main headquarters located in a specified place.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69e49658b5a48190813dcf114d92be8e completed April 19, 2026, 8:46 a.m.
PD Predicate disambiguation batch_69d6f30df9948190ab3cdc33977fac14 completed April 9, 2026, 12:30 a.m.
PDg Predicate description generation batch_69d6fa323564819097b207eb53f8a9b8 completed April 9, 2026, 1 a.m.
Created at: April 8, 2026, 9:14 p.m.