Triple

T3272075
Position Surface form Disambiguated ID Type / Status
Subject France 3 E68669 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: [France 3, broadcastStandard, DVB-T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DVB-T
Context triple: [France 3, 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-S
    DVB-S is a digital video broadcasting standard used worldwide for transmitting television and data services via satellite.
  • D. 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.
  • E. 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.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff6308881908886a44804a0bb09 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28f0793e08190af55ee16e5091451 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:10 p.m.