Triple

T27986090
Position Surface form Disambiguated ID Type / Status
Subject Palacio de Buenavista E706745 entity
Predicate near P350 FINISHED
Object Plaza de la Merced
Plaza de la Merced is a historic public square in Málaga, Spain, known for its cultural significance, lively atmosphere, and as the birthplace area of painter Pablo Picasso.
E1867179 NE FINISHED

How this triple was built (2 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 de la Merced | Statement: [Palacio de Buenavista, near, Plaza de la Merced]
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 de la Merced
Triple: [Palacio de Buenavista, near, Plaza de la Merced]
Generated description
Plaza de la Merced is a historic public square in Málaga, Spain, known for its cultural significance, lively atmosphere, and as the birthplace area of painter Pablo Picasso.

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_69ef96b8b8d88190bad5e4ae966bf14e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63b6d1ee48190b19864c90f8ae5f0 completed May 2, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25d8eea2c48190ab973cacb1177bca completed June 7, 2026, 8:47 p.m.
NEDg Description generation batch_6a25dd7c29888190a5c9f7c1f8ab9152 completed June 7, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a25e22054d081908784600599c12ed5 completed June 7, 2026, 9:26 p.m.
Created at: April 27, 2026, 7:47 p.m.