Triple

T1077272
Position Surface form Disambiguated ID Type / Status
Subject UMTS E23867 entity
Predicate supportsService P203 FINISHED
Object SMS
SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
 E123437 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: SMS | Statement: [UMTS, supportsService, SMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SMS
Context triple: [UMTS, supportsService, SMS]
  • A. IMS
    IMS (IP Multimedia Subsystem) is a standardized architectural framework for delivering IP-based multimedia services over mobile and fixed networks.
  • B. IMS
    IMS is a leading biomedical research institute focused on understanding metabolic diseases such as obesity and diabetes.
  • 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. 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.
  • E. MSG
    MSG is a famous multi-purpose indoor arena in New York City known for hosting major sports events, concerts, and entertainment spectacles.
  • 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: SMS
Triple: [UMTS, supportsService, SMS]
Generated description
SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SMS
Target entity description: SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
  • A. IMS
    IMS (IP Multimedia Subsystem) is a standardized architectural framework for delivering IP-based multimedia services over mobile and fixed networks.
  • B. IMS
    IMS is a leading biomedical research institute focused on understanding metabolic diseases such as obesity and diabetes.
  • 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. 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.
  • E. MSG
    MSG is a famous multi-purpose indoor arena in New York City known for hosting major sports events, concerts, and entertainment spectacles.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94288d88190aae4fb86236c0702 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42abc7a08190a34f5b2d393db30e completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac4336328481908aba0260c6504a1a completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43b393748190a5fa81b7ab7fa911 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.