Triple

T7682962
Position Surface form Disambiguated ID Type / Status
Subject Maracay E174040 entity
Predicate hasNickname P39 FINISHED
Object Ciudad Jardín
Ciudad Jardín is the nickname of Maracay, a major Venezuelan city known for its abundant green areas and planned urban layout.
E682025 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: Ciudad Jardín | Statement: [Maracay, hasNickname, Ciudad Jardín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad Jardín
Context triple: [Maracay, hasNickname, Ciudad Jardín]
  • A. City of Gardens
    The "City of Gardens" is a poetic nickname for Shiraz, a historic Iranian city renowned for its lush gardens, literary heritage, and cultural significance.
  • B. City of Gardens
    City of Gardens is a popular nickname for Lahore, highlighting its historic abundance of parks, green spaces, and Mughal-era gardens.
  • C. La Ciudad Jardín
    La Ciudad Jardín is the popular nickname of Viña del Mar, a coastal Chilean city renowned for its beaches, gardens, and resort atmosphere.
  • D. Ciudad de la Paz
    Ciudad de la Paz is a purpose-built city in Equatorial Guinea intended to serve as the country’s future administrative and political capital.
  • E. Ciudad de los Parques
    Ciudad de los Parques is the popular nickname for the Cuban city of Holguín, renowned for its numerous plazas and green public squares.
  • 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: Ciudad Jardín
Triple: [Maracay, hasNickname, Ciudad Jardín]
Generated description
Ciudad Jardín is the nickname of Maracay, a major Venezuelan city known for its abundant green areas and planned urban layout.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ciudad Jardín
Target entity description: Ciudad Jardín is the nickname of Maracay, a major Venezuelan city known for its abundant green areas and planned urban layout.
  • A. City of Gardens
    The "City of Gardens" is a poetic nickname for Shiraz, a historic Iranian city renowned for its lush gardens, literary heritage, and cultural significance.
  • B. City of Gardens
    City of Gardens is a popular nickname for Lahore, highlighting its historic abundance of parks, green spaces, and Mughal-era gardens.
  • C. La Ciudad Jardín
    La Ciudad Jardín is the popular nickname of Viña del Mar, a coastal Chilean city renowned for its beaches, gardens, and resort atmosphere.
  • D. Ciudad de la Paz
    Ciudad de la Paz is a purpose-built city in Equatorial Guinea intended to serve as the country’s future administrative and political capital.
  • E. Ciudad de los Parques
    Ciudad de los Parques is the popular nickname for the Cuban city of Holguín, renowned for its numerous plazas and green public squares.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7021ce1308190be58d17ebaafa6ae completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25304b88190920c2e4908925ce2 completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a3c18f208190bff7ebdcf7ba2be1 completed March 29, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c8a7a002308190826cb99f238975c5 completed March 29, 2026, 4:16 a.m.
Created at: March 27, 2026, 4:01 p.m.