Triple

T20493318
Position Surface form Disambiguated ID Type / Status
Subject TV Azteca E502802 entity
Predicate hasTelevisionNetwork P833 FINISHED
Object Adn40
Adn40 is a Mexican free-to-air news and information television channel operated by TV Azteca.
 E1434824 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: Adn40 | Statement: [TV Azteca, hasTelevisionNetwork, Adn40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adn40
Context triple: [TV Azteca, hasTelevisionNetwork, Adn40]
  • A. ADN
    ADN is a European treaty that sets safety and environmental regulations for transporting dangerous goods on inland waterways.
  • B. ODNA
    ODNA is the acronym for the Office of the Director of Net Assessment, a U.S. Department of Defense office responsible for long-term strategic military assessments and competitive analysis.
  • C. A40
    The A40 is a major road in England that runs from London through Oxford and on toward Wales, serving as an important east–west transport route.
  • D. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • E. A40
    The A40 is a major German autobahn running through the Ruhr area and connecting cities such as Moers with the broader regional and national road network.
  • 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: Adn40
Triple: [TV Azteca, hasTelevisionNetwork, Adn40]
Generated description
Adn40 is a Mexican free-to-air news and information television channel operated by TV Azteca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adn40
Target entity description: Adn40 is a Mexican free-to-air news and information television channel operated by TV Azteca.
  • A. ADN
    ADN is a European treaty that sets safety and environmental regulations for transporting dangerous goods on inland waterways.
  • B. ODNA
    ODNA is the acronym for the Office of the Director of Net Assessment, a U.S. Department of Defense office responsible for long-term strategic military assessments and competitive analysis.
  • C. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • D. A40
    The A40 is a major road in England that runs from London through Oxford and on toward Wales, serving as an important east–west transport route.
  • E. A40
    The A40 is a major German autobahn running through the Ruhr area and connecting cities such as Moers with the broader regional and national road network.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893b8a86081908783a9b8cf2dc485 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a08962f4e3881908df0bb55b6239c86 completed May 16, 2026, 4:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0896b417bc8190963b69f84ea0e3c8 completed May 16, 2026, 4:09 p.m.
Created at: April 16, 2026, 11:35 a.m.