Triple

T21192368
Position Surface form Disambiguated ID Type / Status
Subject MMS E522242 entity
Predicate transportsOver P53674 FINISHED
Object 4G 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: 4G | Statement: [MMS, transportsOver, 4G]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 4G
Context triple: [MMS, transportsOver, 4G]
  • A. 4G WiMAX
    4G WiMAX is a wireless broadband technology standard that provides high-speed internet access over long distances, often used as an alternative to traditional wired connections.
  • B. LTE chosen
    LTE (Long Term Evolution) is a high-speed wireless communication standard for mobile devices and data terminals, widely used as the foundation of 4G cellular networks.
  • C. 7G
    7G is the IATA airline designator assigned to StarFlyer, a Japanese low-cost carrier based at Kitakyushu Airport.
  • D. HSPA+
    HSPA+ is an enhanced 3G mobile broadband technology that significantly increases data speeds and network capacity over earlier HSPA/HSDPA systems.
  • E. 4.5G Pro
    4.5G Pro is a marketing term for LTE-Advanced Pro, an enhanced mobile network technology that bridges the gap between 4G LTE and 5G by offering higher data speeds, lower latency, and improved capacity.
  • 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_69e73338dbe881908360dedad65c964b completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:07 p.m.