Triple

T19444361
Position Surface form Disambiguated ID Type / Status
Subject Seoul Subway Line 2 E486432 entity
Predicate notableStation P3858 FINISHED
Object Samsung Station 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: Samsung Station | Statement: [Seoul Subway Line 2, notableStation, Samsung Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samsung Station
Context triple: [Seoul Subway Line 2, notableStation, Samsung Station]
  • A. Samsung SDS
    Samsung SDS is an information technology and consulting services company within the Samsung Group, specializing in IT solutions, cloud, and digital transformation services.
  • B. Samsung services
    Samsung services are a suite of proprietary apps and cloud-based features offered by Samsung to enhance functionality, connectivity, and user experience across its devices.
  • C. Samsung Electro-Mechanics
    Samsung Electro-Mechanics is a South Korean company specializing in the development and manufacture of electronic components such as multilayer ceramic capacitors, camera modules, and semiconductor substrates.
  • D. Samsung City
    Samsung City is a nickname for Suwon, a South Korean city known for hosting the global headquarters and major facilities of Samsung Electronics.
  • E. Samsung Pass
    Samsung Pass was Samsung’s biometric authentication and password management service that let users securely log into apps and websites using features like fingerprint or iris recognition.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samsung Station
Target entity description: Samsung Station is a major underground subway station in Seoul’s Gangnam district, serving as a key access point to the COEX complex and surrounding commercial areas.
  • A. Samsung SDS
    Samsung SDS is an information technology and consulting services company within the Samsung Group, specializing in IT solutions, cloud, and digital transformation services.
  • B. Samsung services
    Samsung services are a suite of proprietary apps and cloud-based features offered by Samsung to enhance functionality, connectivity, and user experience across its devices.
  • C. Samsung Electro-Mechanics
    Samsung Electro-Mechanics is a South Korean company specializing in the development and manufacture of electronic components such as multilayer ceramic capacitors, camera modules, and semiconductor substrates.
  • D. Samsung City
    Samsung City is a nickname for Suwon, a South Korean city known for hosting the global headquarters and major facilities of Samsung Electronics.
  • E. Samsung Pass
    Samsung Pass was Samsung’s biometric authentication and password management service that let users securely log into apps and websites using features like fingerprint or iris recognition.
  • F. None of above. chosen

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63387e2048190bfb13fea434ddb46 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.