Triple

T11059400
Position Surface form Disambiguated ID Type / Status
Subject Gaviota S.A. E261464 entity
Predicate hasAbbreviation P43 FINISHED
Object Gaviota
Gaviota is a company commonly known by its abbreviated name, used as a commercial or brand designation.
 E902811 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: Gaviota | Statement: [Gaviota S.A., hasAbbreviation, Gaviota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaviota
Context triple: [Gaviota S.A., hasAbbreviation, Gaviota]
  • A. La Jara
    La Jara is a small town in southern Colorado that serves as the primary population and commercial center of Conejos County.
  • B. Brazo Blest
    Brazo Blest is a scenic western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its lush forests, waterfalls, and access to the Andes near the Chilean border.
  • C. La Gallega
    La Gallega is an alternative name for the Santa María, the largest of Christopher Columbus’s three ships on his first voyage to the Americas in 1492.
  • D. King of Seville
    King of Seville is a royal title historically associated with the Spanish monarchy and, in this context, held by Felipe VI of Spain.
  • E. Hernani
    Hernani is a coastal municipality in the province of Eastern Samar in the Philippines, known for its Pacific shoreline and rural communities.
  • 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: Gaviota
Triple: [Gaviota S.A., hasAbbreviation, Gaviota]
Generated description
Gaviota is a company commonly known by its abbreviated name, used as a commercial or brand designation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaviota
Target entity description: Gaviota is a company commonly known by its abbreviated name, used as a commercial or brand designation.
  • A. La Jara
    La Jara is a small town in southern Colorado that serves as the primary population and commercial center of Conejos County.
  • B. Brazo Blest
    Brazo Blest is a scenic western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its lush forests, waterfalls, and access to the Andes near the Chilean border.
  • C. La Gallega
    La Gallega is an alternative name for the Santa María, the largest of Christopher Columbus’s three ships on his first voyage to the Americas in 1492.
  • D. King of Seville
    King of Seville is a royal title historically associated with the Spanish monarchy and, in this context, held by Felipe VI of Spain.
  • E. Hernani
    Hernani is a coastal municipality in the province of Eastern Samar in the Philippines, known for its Pacific shoreline and rural communities.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:26 p.m.