Triple

T29604035
Position Surface form Disambiguated ID Type / Status
Subject Mare de Déu de la Mercè E754527 entity
Predicate hasMajorShrineIn P21389 FINISHED
Object Basilica of Our Lady of Mercy, Barcelona
The Basilica of Our Lady of Mercy in Barcelona is a historic Baroque-style Catholic church and prominent Marian sanctuary dedicated to the city’s patroness, Our Lady of Mercy.
E1875056 NE FINISHED

How this triple was built (3 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: Basilica of Our Lady of Mercy, Barcelona | Statement: [Mare de Déu de la Mercè, hasMajorShrineIn, Basilica of Our Lady of Mercy, Barcelona]
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: Basilica of Our Lady of Mercy, Barcelona
Triple: [Mare de Déu de la Mercè, hasMajorShrineIn, Basilica of Our Lady of Mercy, Barcelona]
Generated description
The Basilica of Our Lady of Mercy in Barcelona is a historic Baroque-style Catholic church and prominent Marian sanctuary dedicated to the city’s patroness, Our Lady of Mercy.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMajorShrineIn
Context triple: [Mare de Déu de la Mercè, hasMajorShrineIn, Basilica of Our Lady of Mercy, Barcelona]
  • A. hasMajorShrine chosen
    Indicates that one entity serves as a principal or primary shrine dedicated to another entity.
  • B. isMostSacredShrineOf
    Indicates that one entity is regarded as the holiest or most sacred shrine associated with another entity (such as a deity, religion, or tradition).
  • C. hasShrinesIn
    Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
  • D. stateShrineOf
    Indicates that one entity is officially designated as a state-recognized shrine associated with or located within another entity (typically a state or region).
  • E. countryShrineOf
    Indicates that a country is the location or host nation of a particular shrine.
  • F. None of above.

Provenance (6 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_69f0ef84e5d08190a0df17f5930ceed3 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69ff59b33a38819086cc9aa19b81748b completed May 9, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d868b408190860663b39bea0227 completed June 8, 2026, 2:48 a.m.
NEDg Description generation batch_6a26320ad0ac8190872f8152afd4600b completed June 8, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_6a26377a75008190b09b23268b3a0e14 completed June 8, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69ff587758f88190a39c2164341dc554 completed May 9, 2026, 3:53 p.m.
Created at: April 28, 2026, 6:24 p.m.