Triple

T5103167
Position Surface form Disambiguated ID Type / Status
Subject OFDM E115027 entity
Predicate appliedIn P1129 FINISHED
Object DVB-T E72542 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: DVB-T | Statement: [OFDM, appliedIn, DVB-T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DVB-T
Context triple: [OFDM, appliedIn, DVB-T]
  • A. DVB-T chosen
    DVB-T is a widely used digital terrestrial television broadcasting standard that delivers multiple TV and radio channels over conventional aerials.
  • B. DVB-T2
    DVB-T2 is the second-generation digital terrestrial television broadcasting standard that delivers more efficient, higher-capacity TV and data services over the air compared to its DVB-T predecessor.
  • C. DVB-C
    DVB-C is a digital cable television transmission standard used to deliver TV and radio services over cable networks.
  • D. DVB-S
    DVB-S is a digital video broadcasting standard used worldwide for transmitting television and data services via satellite.
  • E. DVB broadcasting standards
    DVB broadcasting standards are a family of international specifications that define how digital television signals are transmitted, compressed, and received over terrestrial, satellite, and cable networks.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7586a4a08190866aea6be625837c completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba9106ec8190839a7de183efa359 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:41 p.m.