Triple

T6402552
Position Surface form Disambiguated ID Type / Status
Subject 3GPP E144097 entity
Predicate standardizes P1371 FINISHED
Object UMTS E23867 NE FINISHED

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: UMTS | Statement: [3GPP, standardizes, UMTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMTS
Context triple: [3GPP, standardizes, UMTS]
  • A. UMTS chosen
    UMTS is a third-generation (3G) mobile telecommunications system that provides higher-speed voice and data services over cellular networks.
  • B. UTRAN
    UTRAN (UMTS Terrestrial Radio Access Network) is the 3G radio access network architecture used in UMTS mobile communication systems to connect user devices to the core network.
  • C. HSUPA
    HSUPA (High-Speed Uplink Packet Access) is a 3G mobile telecommunication protocol that significantly increases uplink data speeds and network capacity for users.
  • D. HSDPA
    HSDPA (High-Speed Downlink Packet Access) is a 3G mobile telephony protocol that significantly increases data download speeds and network capacity for users on compatible cellular networks.
  • E. TD-SCDMA
    TD-SCDMA is a 3G mobile telecommunications standard developed in China that uses time-division duplexing and code division multiple access to provide wireless voice and data services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068ade8c881908a0472f1de6b7c21 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638a6e6248190bda7ad3fbd8f4746 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.