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.