Triple

T14457775
Position Surface form Disambiguated ID Type / Status
Subject LDPC E358499 entity
Predicate usedInStandard P1587 FINISHED
Object DVB-C2 E921290 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-C2 | Statement: [LDPC, usedInStandard, DVB-C2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DVB-C2
Context triple: [LDPC, usedInStandard, DVB-C2]
  • A. DVB-C2 chosen
    DVB-C2 is an advanced digital cable television transmission standard that offers higher efficiency and capacity than its predecessor DVB-C for delivering broadcast services over cable networks.
  • B. DVB-C
    DVB-C is a digital cable television transmission standard used to deliver TV and radio services over cable networks.
  • C. 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.
  • D. 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.
  • E. DVB-CSA
    DVB-CSA is a content-scrambling and conditional access encryption standard used to protect digital television broadcasts in DVB 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91aabebc819097eb61b2d81c9a91 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64935d8081908e5b0e80027948e0 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.