Triple

T14228218
Position Surface form Disambiguated ID Type / Status
Subject Marcos E352679 entity
Predicate hasDiminutive P456 FINISHED
Object Marquitos
Marquitos is a Spanish diminutive form of the given name Marcos, often used as an affectionate nickname.
E1087136 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: Marquitos | Statement: [Marcos, hasDiminutive, Marquitos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marquitos
Context triple: [Marcos, hasDiminutive, Marquitos]
  • A. La Rucilla
    La Rucilla is a mountain peak located in Spain’s Cordillera Central range, known for its rugged terrain and scenic hiking routes.
  • B. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • C. Pericos
    Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
  • D. Pichilingue
    Pichilingue is a coastal port area near La Paz in Baja California Sur, Mexico, known as a gateway for ferries and maritime transport across the Gulf of California.
  • E. Caporales
    Caporales is a vibrant Bolivian folkloric dance characterized by energetic steps, elaborate costumes, and strong rhythmic accompaniment, often performed during religious and cultural festivals.
  • 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: Marquitos
Triple: [Marcos, hasDiminutive, Marquitos]
Generated description
Marquitos is a Spanish diminutive form of the given name Marcos, often used as an affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marquitos
Target entity description: Marquitos is a Spanish diminutive form of the given name Marcos, often used as an affectionate nickname.
  • A. La Rucilla
    La Rucilla is a mountain peak located in Spain’s Cordillera Central range, known for its rugged terrain and scenic hiking routes.
  • B. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • C. Pericos
    Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
  • D. Pichilingue
    Pichilingue is a coastal port area near La Paz in Baja California Sur, Mexico, known as a gateway for ferries and maritime transport across the Gulf of California.
  • E. Caporales
    Caporales is a vibrant Bolivian folkloric dance characterized by energetic steps, elaborate costumes, and strong rhythmic accompaniment, often performed during religious and cultural festivals.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622a48508190bbfedb762bd1674d completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281801488190bcb17d27ee18cde6 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd29a470a08190b18c184466bbe0a9 completed May 8, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd2a61842481909388c83480482aeb completed May 8, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:07 a.m.