Triple

T22831126
Position Surface form Disambiguated ID Type / Status
Subject Bussnang E565802 entity
Predicate notableCompanyHeadquarters P149896 FINISHED
Object Stadler Rail NE NERFINISHED

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: Stadler Rail | Statement: [Bussnang, notableCompanyHeadquarters, Stadler Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadler Rail
Context triple: [Bussnang, notableCompanyHeadquarters, Stadler Rail]
  • A. Stadler Rail chosen
    Stadler Rail is a Swiss manufacturer of railway rolling stock known for producing regional and commuter trains, trams, and light rail vehicles for markets worldwide.
  • B. Siemens Transportation Systems
    Siemens Transportation Systems is a division of Siemens AG that designs and manufactures rail vehicles and related transportation infrastructure and technologies.
  • C. voestalpine Railway Systems
    voestalpine Railway Systems is a global provider of railway infrastructure solutions, specializing in rail tracks, turnouts, signaling, and related services for heavy-haul, high-speed, and urban rail networks.
  • D. Siemens–Duewag
    Siemens–Duewag was a German rolling stock manufacturer known for producing light rail vehicles and trams used in many cities worldwide.
  • E. MTR GmbH
    MTR GmbH is an international joint venture company that designs, develops, and supports turboshaft engines for military helicopters.
  • 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: notableCompanyHeadquarters
Context triple: [Bussnang, notableCompanyHeadquarters, Stadler Rail]
  • A. notableCompanyFoundedIn
    Indicates that a company is recognized as notable and was founded in the specified location or time period.
  • B. majorCompanyHeadquartered
    Indicates that a company is a primary or significant corporate entity whose main headquarters is located in a specified place.
  • C. headquartersFoundedCompanyIn
    Indicates that a headquarters entity established or founded a particular company.
  • D. majorCompanyLocatedIn
    Indicates that a major company has its primary presence or headquarters in a specified location.
  • E. laterCompanyHeadquartersCity
    Indicates that the specified city is the location of a company’s headquarters during a later period in time, following an earlier headquarters location.
  • F. None of above. chosen

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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2bcad8819091f237fd2273a20c completed April 29, 2026, 3:42 a.m.
PD Predicate disambiguation batch_69eed2d117088190acbfe130d84f8627 completed April 27, 2026, 3:06 a.m.
PDg Predicate description generation batch_69eeeb577e2081909f4a4e9c296535c0 completed April 27, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:34 p.m.