Triple

T37361486
Position Surface form Disambiguated ID Type / Status
Subject South American Footballer of the Year E927590 entity
Predicate presentedBy P83 FINISHED
Object Uruguayan newspaper El País
Uruguayan newspaper El País is a major daily publication based in Montevideo, known for its influential coverage of national and international news, including Latin American football.
E2224570 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: Uruguayan newspaper El País | Statement: [South American Footballer of the Year, presentedBy, Uruguayan newspaper El País]
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: Uruguayan newspaper El País
Triple: [South American Footballer of the Year, presentedBy, Uruguayan newspaper El País]
Generated description
Uruguayan newspaper El País is a major daily publication based in Montevideo, known for its influential coverage of national and international news, including Latin American football.

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_69f76eb701788190b40824bc4594d985 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5befa82c8190ac214a049a0ae1ce completed May 6, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406ce71e488190a4e0d40d4388f884 completed June 28, 2026, 12:37 a.m.
NEDg Description generation batch_6a406e564c1881908e4f7af6ef6e5513 completed June 28, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a4072845e408190b662e3edccf59fb3 completed June 28, 2026, 1:01 a.m.
Created at: May 3, 2026, 4:16 p.m.