Triple

T21699467
Position Surface form Disambiguated ID Type / Status
Subject Mediaset E535616 entity
Predicate owns P347 FINISHED
Object La5
La5 is an Italian free-to-air television channel primarily targeting a young female audience with entertainment, series, and lifestyle programming.
 E1496958 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: La5 | Statement: [Mediaset, owns, La5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La5
Context triple: [Mediaset, owns, La5]
  • A. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • B. L-5
    The Gibson L-5 is a renowned archtop jazz guitar, celebrated for its rich tone, carved top construction, and use by many influential jazz guitarists.
  • C. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • D. LAL
    LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
  • E. 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.
  • 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: La5
Triple: [Mediaset, owns, La5]
Generated description
La5 is an Italian free-to-air television channel primarily targeting a young female audience with entertainment, series, and lifestyle programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La5
Target entity description: La5 is an Italian free-to-air television channel primarily targeting a young female audience with entertainment, series, and lifestyle programming.
  • A. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • B. L-5
    The Gibson L-5 is a renowned archtop jazz guitar, celebrated for its rich tone, carved top construction, and use by many influential jazz guitarists.
  • C. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • D. LAL
    LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
  • E. 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.
  • 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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b7de9888190bbca7717a32f9888 completed April 27, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e2755708190afd098c5c673c1f0 completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1f457fc48190a36c6cf8934fd5d3 completed May 17, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1fc13900819098ee66684dfdff95 completed May 17, 2026, 8:06 p.m.
Created at: April 16, 2026, 6:45 p.m.