Triple

T2736536
Position Surface form Disambiguated ID Type / Status
Subject Ramón E60642 entity
Predicate shortForm P43 FINISHED
Object Ramo
Ramo is a shortened, informal given name commonly used as a nickname for people named Ramón.
E297375 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: Ramo | Statement: [Ramón, shortForm, Ramo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramo
Context triple: [Ramón, shortForm, Ramo]
  • A. Raí
    Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
  • B. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • C. Tejo
    Tejo is the Portuguese name for the Tagus River, the longest river on the Iberian Peninsula that flows through Spain and Portugal into the Atlantic Ocean.
  • D. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • E. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • 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: Ramo
Triple: [Ramón, shortForm, Ramo]
Generated description
Ramo is a shortened, informal given name commonly used as a nickname for people named Ramón.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ramo
Target entity description: Ramo is a shortened, informal given name commonly used as a nickname for people named Ramón.
  • A. Raí
    Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
  • B. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • C. Tejo
    Tejo is the Portuguese name for the Tagus River, the longest river on the Iberian Peninsula that flows through Spain and Portugal into the Atlantic Ocean.
  • D. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • E. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb11c66c81909058f2978aa5fae9 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc036a5f88190aeb828829356ef47 completed March 10, 2026, 6:54 a.m.
NEDg Description generation batch_69afc19c5f6481909ff1ad0c7f3bafc8 completed March 10, 2026, 7 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:56 p.m.