Triple

T6418173
Position Surface form Disambiguated ID Type / Status
Subject 3GPP TS 31-series E127880 entity
Predicate focusesOn P31 FINISHED
Object 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.
E593241 NE FINISHED

How this triple was built (4 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: [3GPP TS 31-series, focusesOn, SIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIM
Context triple: [3GPP TS 31-series, focusesOn, SIM]
  • 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. IMS
    IMS is the NATO International Military Staff, the body that provides strategic military advice and support to NATO’s decision-making structures.
  • 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 a leading biomedical research institute focused on understanding metabolic diseases such as obesity and diabetes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SIM
Triple: [3GPP TS 31-series, focusesOn, SIM]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SIM
Target entity description: 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.
  • 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. IMS
    IMS is the IEEE MTT-S International Microwave Symposium, a leading annual conference and exhibition focused on microwave theory, techniques, and technologies.
  • 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 (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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068eb6c988190b54de6182d0f490d completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640d2ab64819089e91525da60392b completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c644ec2ca48190997a118f8751cba5 completed March 27, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69c6455961b881908f5804d9c0e86573 completed March 27, 2026, 8:52 a.m.
Created at: March 22, 2026, 4:42 p.m.