Triple

T17385476
Position Surface form Disambiguated ID Type / Status
Subject Simonside Metro station E422676 entity
Predicate railCode P18202 FINISHED
Object SIM 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: SIM | Statement: [Simonside Metro station, railCode, SIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIM
Context triple: [Simonside Metro station, railCode, SIM]
  • A. SIM
    SIM (Subscriber Identity Module) is a secure smart card or embedded chip used in mobile devices to store subscriber credentials and enable authentication and access to cellular networks.
  • B. SIM
    SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
  • C. SIM
    SIM is the vehicle registration code used on license plates for vehicles registered in the Simmern region of Germany.
  • D. IMS
    IMS is the NATO International Military Staff, the body that provides strategic military advice and support to NATO’s decision-making structures.
  • E. IMS
    IMS is IBM's hierarchical database and transaction management system widely used on mainframe platforms for high-volume, mission-critical applications.
  • 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: SIM
Target entity description: SIM is the National Rail station code assigned to Simonside Metro station in South Tyneside, England.
  • A. SIM
    SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
  • B. SIM
    SIM is the vehicle registration code used on license plates for vehicles registered in the Simmern region of Germany.
  • C. SIM
    SIM (Subscriber Identity Module) is a secure smart card or embedded chip used in mobile devices to store subscriber credentials and enable authentication and access to cellular networks.
  • D. IMS
    IMS is IBM's hierarchical database and transaction management system widely used on mainframe platforms for high-volume, mission-critical applications.
  • E. IMS
    IMS is the NATO International Military Staff, the body that provides strategic military advice and support to NATO’s decision-making structures.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a89c5008190a277a68e5cfe67b7 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.