Triple

T8286856
Position Surface form Disambiguated ID Type / Status
Subject EDGE E193805 entity
Predicate successor P78 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: [EDGE, successor, UMTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMTS
Context triple: [EDGE, successor, 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad3722481908076508908d18621 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd688441908190b6b0a39dfb9d87ac completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.