Triple

T21192675
Position Surface form Disambiguated ID Type / Status
Subject Time Division Duplex E522249 entity
Predicate usedIn P98 FINISHED
Object WLAN systems 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: WLAN systems | Statement: [Time Division Duplex, usedIn, WLAN systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WLAN systems
Context triple: [Time Division Duplex, usedIn, WLAN systems]
  • A. IEEE 802.11
    IEEE 802.11 is a family of wireless networking standards that define the protocols for implementing Wi‑Fi local area networks.
  • B. Wi‑Fi chosen
    Wi‑Fi is a widely used wireless networking technology that allows devices to connect to the internet and communicate over local area networks using radio waves.
  • C. Mobile Broadband Wireless Access
    Mobile Broadband Wireless Access is a high-speed wireless communication technology designed to provide broadband internet connectivity to mobile users over wide geographic areas.
  • D. LTE-WLAN Aggregation (LWA)
    LTE-WLAN Aggregation (LWA) is a 3GPP technology that boosts mobile data performance by allowing LTE networks to offload and combine traffic with Wi‑Fi networks at the radio access level.
  • E. Center for Wireless Communications
    The Center for Wireless Communications is a research institute specializing in advanced wireless technologies and communication systems, based at the University of Oulu in Finland.
  • 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.