Triple

T1935107
Position Surface form Disambiguated ID Type / Status
Subject Wi‑Fi E41426 entity
Predicate usesModulation P23647 FINISHED
Object OFDM E115027 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: OFDM | Statement: [Wi‑Fi, usesModulation, OFDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OFDM
Context triple: [Wi‑Fi, usesModulation, OFDM]
  • A. OFDM chosen
    OFDM (Orthogonal Frequency-Division Multiplexing) is a digital multi-carrier modulation technique that splits data across many closely spaced orthogonal subcarriers to improve robustness against interference and multipath fading in wireless and wired communication systems.
  • B. IEEE 802.16
    IEEE 802.16 is a family of broadband wireless access standards, commonly associated with WiMAX, that defines high-speed wireless metropolitan area networks.
  • C. DVB-S2
    DVB-S2 is an advanced digital satellite television broadcasting standard widely used in Europe and beyond for efficient, high-quality transmission of TV and data services.
  • D. IEEE 802.17
    IEEE 802.17 is a networking standard that defines resilient packet ring (RPR) technology for efficient, high-speed data transport in metropolitan area networks.
  • E. LTE-Advanced
    LTE-Advanced is an enhanced 4G mobile communication standard that significantly improves data rates, capacity, and network efficiency over earlier LTE systems.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29c7be08190986df157bf5d7c9e completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f3932081909a72d1022259359e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.