Triple

T37309501
Position Surface form Disambiguated ID Type / Status
Subject Ofrenda de Flores E926167 entity
Predicate mainDeity P7648 FINISHED
Object Virgin of the Pilar
The Virgin of the Pilar is a revered Marian apparition and patroness of Zaragoza, Spain, venerated as a powerful protector and central figure in Spanish Catholic devotion.
E2240344 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: Virgin of the Pilar | Statement: [Ofrenda de Flores, mainDeity, Virgin of the Pilar]
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: Virgin of the Pilar
Triple: [Ofrenda de Flores, mainDeity, Virgin of the Pilar]
Generated description
The Virgin of the Pilar is a revered Marian apparition and patroness of Zaragoza, Spain, venerated as a powerful protector and central figure in Spanish Catholic devotion.

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_69f76eb1bc508190924e9fa5d8acdeb3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5b17ff948190b12bbb903b21e904 completed May 6, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40d65f938c8190a86ba2f907dbc5db completed June 28, 2026, 8:07 a.m.
NEDg Description generation batch_6a40d7e634b48190a99da2222ebc04bd completed June 28, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_6a40d96828bc819080bc6fa16564db9f completed June 28, 2026, 8:20 a.m.
Created at: May 3, 2026, 4:16 p.m.