Triple

T14650066
Position Surface form Disambiguated ID Type / Status
Subject RTBF E343957 entity
Predicate operatesChannel P5884 FINISHED
Object Tipik
Tipik is a Belgian public television channel from RTBF that targets young adults with a mix of entertainment, series, and cultural programming.
 E1112126 NE FINISHED

How this triple was built (4 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: Tipik | Statement: [RTBF, operatesChannel, Tipik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tipik
Context triple: [RTBF, operatesChannel, Tipik]
  • A. Titsch
    Titsch is a Germanic Walser dialect spoken in parts of the Italian Alps, particularly in the Gressoney Valley of the Aosta region.
  • B. Tipai
    Tipai is a Yuman language variety traditionally spoken by the Tipai people of northern Baja California and southern California, closely related to other Kumeyaay dialects.
  • C. Tarajalejo
    Tarajalejo is a coastal village and tourist resort on the island of Fuerteventura in Spain’s Canary Islands.
  • D. Tabasalu
    Tabasalu is a small town in northern Estonia that serves as the main local hub for the surrounding Harku Parish near the capital, Tallinn.
  • E. Tavertet
    Tavertet is a small scenic village in Catalonia, Spain, known for its dramatic cliffs, views over the Sau reservoir, and well-preserved traditional stone houses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tipik
Triple: [RTBF, operatesChannel, Tipik]
Generated description
Tipik is a Belgian public television channel from RTBF that targets young adults with a mix of entertainment, series, and cultural programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tipik
Target entity description: Tipik is a Belgian public television channel from RTBF that targets young adults with a mix of entertainment, series, and cultural programming.
  • A. Titsch
    Titsch is a Germanic Walser dialect spoken in parts of the Italian Alps, particularly in the Gressoney Valley of the Aosta region.
  • B. Tipai
    Tipai is a Yuman language variety traditionally spoken by the Tipai people of northern Baja California and southern California, closely related to other Kumeyaay dialects.
  • C. Tarajalejo
    Tarajalejo is a coastal village and tourist resort on the island of Fuerteventura in Spain’s Canary Islands.
  • D. Tabasalu
    Tabasalu is a small town in northern Estonia that serves as the main local hub for the surrounding Harku Parish near the capital, Tallinn.
  • E. Tavertet
    Tavertet is a small scenic village in Catalonia, Spain, known for its dramatic cliffs, views over the Sau reservoir, and well-preserved traditional stone houses.
  • F. None of above. chosen

Provenance (5 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ed037c8190a87bf43f839fec05 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d9ab188190934deb57fd6d9a56 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd6b2f6148190bb91d55833308d5f completed May 8, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_69fdd77fdc608190a89e4dbf5ce4b695 completed May 8, 2026, 12:30 p.m.
Created at: April 10, 2026, 1:26 a.m.