Triple

T19996116
Position Surface form Disambiguated ID Type / Status
Subject Ambrosio Plaza E494196 entity
Predicate familyName P18 FINISHED
Object Plaza
Plaza is a Spanish-language surname borne by various notable individuals, particularly in Latin America.
 E1405510 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: Plaza | Statement: [Ambrosio Plaza, familyName, Plaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plaza
Context triple: [Ambrosio Plaza, familyName, Plaza]
  • A. Plaza
    Plaza is a Canadian R&B singer and songwriter known for his atmospheric, moody sound and releases under Drake’s OVO Sound label.
  • B. The Plaza
    The Plaza is a legendary luxury hotel in New York City, renowned for its opulent architecture, historic significance, and frequent appearances in popular culture.
  • C. The Plaza
    The Plaza is a dedicated retail and leisure area within the Bluewater Shopping Centre, featuring a range of shops, dining options, and visitor amenities.
  • D. La Gran Plaza
    La Gran Plaza, also known as the Macroplaza, is a vast central public square in Monterrey, Mexico, renowned for its monuments, government buildings, and cultural attractions.
  • E. Plaza Once
    Plaza Once is a major railway and transit hub in Buenos Aires, Argentina, serving as a key connection point between suburban trains, buses, and the city’s underground network.
  • 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: Plaza
Triple: [Ambrosio Plaza, familyName, Plaza]
Generated description
Plaza is a Spanish-language surname borne by various notable individuals, particularly in Latin America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plaza
Target entity description: Plaza is a Spanish-language surname borne by various notable individuals, particularly in Latin America.
  • A. Plaza
    Plaza is a Canadian R&B singer and songwriter known for his atmospheric, moody sound and releases under Drake’s OVO Sound label.
  • B. The Plaza
    The Plaza is a legendary luxury hotel in New York City, renowned for its opulent architecture, historic significance, and frequent appearances in popular culture.
  • C. The Plaza
    The Plaza is a dedicated retail and leisure area within the Bluewater Shopping Centre, featuring a range of shops, dining options, and visitor amenities.
  • D. La Gran Plaza
    La Gran Plaza, also known as the Macroplaza, is a vast central public square in Monterrey, Mexico, renowned for its monuments, government buildings, and cultural attractions.
  • E. Plaza Once
    Plaza Once is a major railway and transit hub in Buenos Aires, Argentina, serving as a key connection point between suburban trains, buses, and the city’s underground network.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08050803408190aee8393b999c2a16 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0805dc82648190ba319b623e167cfd completed May 16, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0806badb3c8190b5f30d2532064720 completed May 16, 2026, 5:55 a.m.
Created at: April 11, 2026, 3:32 p.m.