Triple

T9513475
Position Surface form Disambiguated ID Type / Status
Subject Avenida de los Presidentes E229460 entity
Predicate alsoKnownAs P39 FINISHED
Object Calle G
Calle G is a prominent avenue in Havana, Cuba, known for its central location and historical and architectural significance.
 E804104 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: Calle G | Statement: [Avenida de los Presidentes, alsoKnownAs, Calle G]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Calle G
Context triple: [Avenida de los Presidentes, alsoKnownAs, Calle G]
  • A. Calle Génova
    Calle Génova is a prominent thoroughfare in Mexico City's Zona Rosa district, known for its vibrant nightlife, shops, and restaurants.
  • B. Calle de Génova
    Calle de Génova is a central street in Madrid, Spain, known for hosting important political party headquarters and connecting key plazas in the city.
  • C. Calle del Carmen
    Calle del Carmen is a busy pedestrian shopping street in central Madrid, known for its stores, cafés, and proximity to the Puerta del Sol.
  • D. Calle Cerrito
    Calle Cerrito is a central street in Buenos Aires, Argentina, known for running past major landmarks in the city’s downtown area.
  • E. Calle del Codo
    Calle del Codo is a narrow, historic street in central Madrid’s old town, known for its characteristic bend and proximity to key medieval landmarks.
  • 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: Calle G
Triple: [Avenida de los Presidentes, alsoKnownAs, Calle G]
Generated description
Calle G is a prominent avenue in Havana, Cuba, known for its central location and historical and architectural significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Calle G
Target entity description: Calle G is a prominent avenue in Havana, Cuba, known for its central location and historical and architectural significance.
  • A. Calle Génova
    Calle Génova is a prominent thoroughfare in Mexico City's Zona Rosa district, known for its vibrant nightlife, shops, and restaurants.
  • B. Calle de Génova
    Calle de Génova is a central street in Madrid, Spain, known for hosting important political party headquarters and connecting key plazas in the city.
  • C. Calle del Carmen
    Calle del Carmen is a busy pedestrian shopping street in central Madrid, known for its stores, cafés, and proximity to the Puerta del Sol.
  • D. Calle Cerrito
    Calle Cerrito is a central street in Buenos Aires, Argentina, known for running past major landmarks in the city’s downtown area.
  • E. Calle del Codo
    Calle del Codo is a narrow, historic street in central Madrid’s old town, known for its characteristic bend and proximity to key medieval landmarks.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd986aa99c8190b2eaa7f9b111aa2e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a3e93a481908569a4ec80c834ab completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c88a8b881909b024cf99a6a2778 completed April 4, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_69d13cfaab2c8190a6cc0fefeac7cd45 completed April 4, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:58 p.m.