Triple

T20862433
Position Surface form Disambiguated ID Type / Status
Subject ZDFmediathek E513655 entity
Predicate platform P1292 FINISHED
Object HbbTV NE NERFINISHED

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: HbbTV | Statement: [ZDFmediathek, platform, HbbTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HbbTV
Context triple: [ZDFmediathek, platform, HbbTV]
  • A. HbbTV (hybrid broadcast broadband TV) chosen
    HbbTV (Hybrid Broadcast Broadband TV) is an open standard that combines traditional broadcast television with broadband internet services to enable interactive and on-demand features on connected TVs and set-top boxes.
  • B. DVB-H
    DVB-H is a digital broadcasting standard designed to deliver television and multimedia content efficiently to handheld and mobile devices.
  • C. DVB-I
    DVB-I is a Digital Video Broadcasting standard designed to deliver linear television services over the internet with a broadcast-like user experience.
  • D. DVB-MHP
    DVB-MHP is an open middleware standard that enables interactive television applications and services on digital broadcast platforms.
  • E. Start TV
    Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c45d2ec4819098abbb901b9fcd87 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:44 p.m.