Triple

T13780808
Position Surface form Disambiguated ID Type / Status
Subject RTVE E331125 entity
Predicate operatesChannel P5884 FINISHED
Object La 1
La 1 is a primary Spanish public television channel offering general-interest programming, including news, entertainment, and cultural content.
 E1062624 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: La 1 | Statement: [RTVE, operatesChannel, La 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La 1
Context triple: [RTVE, operatesChannel, La 1]
  • A. La La La
    "La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
  • B. Unua
    Unua is an Oceanic language spoken by a small community in Vanuatu.
  • C. La La
    "La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
  • D. LA-1
    LA-1 is the alternative title for the Los Alamos Primer, the foundational lecture series that introduced scientists to the basic principles of nuclear weapon design during the Manhattan Project.
  • E. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • 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: La 1
Triple: [RTVE, operatesChannel, La 1]
Generated description
La 1 is a primary Spanish public television channel offering general-interest programming, including news, entertainment, and cultural content.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La 1
Target entity description: La 1 is a primary Spanish public television channel offering general-interest programming, including news, entertainment, and cultural content.
  • A. La La La
    "La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
  • B. Unua
    Unua is an Oceanic language spoken by a small community in Vanuatu.
  • C. La La
    "La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
  • D. LA-1
    LA-1 is the alternative title for the Los Alamos Primer, the foundational lecture series that introduced scientists to the basic principles of nuclear weapon design during the Manhattan Project.
  • E. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • 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_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.
NEDg Description generation batch_69f7b1d9f0b481909752dca3f74a2211 completed May 3, 2026, 8:36 p.m.
NED2 Entity disambiguation (via description) batch_69f7b32db8808190a3dcdd0fe2ce368f completed May 3, 2026, 8:42 p.m.
Created at: April 9, 2026, 10:11 p.m.