Triple

T11951257
Position Surface form Disambiguated ID Type / Status
Subject 10 Shake E284428 entity
Predicate broadcastStandard P15170 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: [10 Shake, broadcastStandard, DVB-T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DVB-T
Context triple: [10 Shake, broadcastStandard, 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-TA
    DVB-TA is a Digital Video Broadcasting standard focused on targeted advertising, enabling personalized ad insertion in broadcast TV services.
  • D. DVB-H
    DVB-H is a digital broadcasting standard designed to deliver television and multimedia content efficiently to handheld and mobile devices.
  • E. DVB-C
    DVB-C is a digital cable television transmission standard used to deliver TV and radio services over 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90364c2608190a3946c9595c71164 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458f16f088190a0005ff0fd4f547f completed May 1, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:45 p.m.