Triple

T21192211
Position Surface form Disambiguated ID Type / Status
Subject SMSC E522239 entity
Predicate supportsService P203 FINISHED
Object Short Message Service NE NERFINISHED

How this triple was built (2 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: Short Message Service | Statement: [SMSC, supportsService, Short Message Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Short Message Service
Context triple: [SMSC, supportsService, Short Message Service]
  • A. Short Message Service Centre
    The Short Message Service Centre (SMSC) is a network element that stores, forwards, converts, and delivers SMS text messages between mobile devices and other messaging systems.
  • B. SMS chosen
    SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
  • C. SMS
    SMS is a third-generation 8-bit home video game console developed and released by Sega as a competitor to Nintendo’s NES.
  • 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 IEEE MTT-S International Microwave Symposium, a leading annual conference and exhibition focused on microwave theory, techniques, and technologies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e733381f288190b3da795f62a39568 completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:07 p.m.