Triple

T13781151
Position Surface form Disambiguated ID Type / Status
Subject TVP E331132 entity
Predicate operatesChannel P5884 FINISHED
Object TVP Seriale E331132 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: TVP Seriale | Statement: [TVP, operatesChannel, TVP Seriale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TVP Seriale
Context triple: [TVP, operatesChannel, TVP Seriale]
  • A. TVP
    TVP is the regional police force responsible for law enforcement across the Thames Valley area of England, including Berkshire, Buckinghamshire, and Oxfordshire.
  • B. TVP chosen
    TVP is Poland’s national public television broadcaster, operating multiple channels and services across the country.
  • C. Show TV
    Show TV is a major Turkish national television channel known for broadcasting popular entertainment programs, series, and news.
  • D. Dizi
    Dizi is an Omotic language spoken primarily by the Dizi people in southwestern Ethiopia.
  • E. TVF
    TVF is Turkey’s sovereign wealth fund, established to manage and grow the country’s strategic assets and investments.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b079013881908e9f5412e5dfb0b2 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.