Triple

T3737279
Position Surface form Disambiguated ID Type / Status
Subject DVB-S2 E79615 entity
Predicate abbreviation P43 FINISHED
Object DVB-S2 E79615 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-S2 | Statement: [DVB-S2, abbreviation, DVB-S2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DVB-S2
Context triple: [DVB-S2, abbreviation, DVB-S2]
  • A. DVB-S2 chosen
    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.
  • B. DVB-S
    DVB-S is a digital video broadcasting standard used worldwide for transmitting television and data services via satellite.
  • 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-C
    DVB-C is a digital cable television transmission standard used to deliver TV and radio services over cable networks.
  • E. DVB-T
    DVB-T is a widely used digital terrestrial television broadcasting standard that delivers multiple TV and radio channels over conventional aerials.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3d32b081909a993a78b0869db8 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb074a9881909afec640a5a208c6 completed March 14, 2026, 6:07 a.m.
Created at: March 8, 2026, 3:34 p.m.