Triple

T21192213
Position Surface form Disambiguated ID Type / Status
Subject SMSC E522239 entity
Predicate associatedWithStandard P85777 FINISHED
Object UMTS 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: UMTS | Statement: [SMSC, associatedWithStandard, UMTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMTS
Context triple: [SMSC, associatedWithStandard, 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. CDMA
    CDMA (Code Division Multiple Access) is a digital cellular technology that allows multiple users to share the same frequency spectrum simultaneously by assigning unique codes to each communication.
  • E. 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.
  • 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.