Triple
T23666884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nossa Senhora de Lourdes |
E584602
|
entity |
| Predicate | religiousTraditionReflectedInName |
P128667
|
FINISHED |
| Object | Roman Catholicism |
—
|
NE NERFINISHED |
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: Roman Catholicism | Statement: [Nossa Senhora de Lourdes, religiousTraditionReflectedInName, Roman Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTraditionReflectedInName Context triple: [Nossa Senhora de Lourdes, religiousTraditionReflectedInName, Roman Catholicism]
-
A.
religiousNamesake
Indicates that one entity serves as the religiously significant figure, concept, or object after which the other entity is named.
-
B.
religiousName
Indicates that an entity has or is known by a name specifically associated with a religious role, identity, or context.
-
C.
hasReligiousAffiliationInName
chosen
Indicates that an entity’s name explicitly includes or reflects a religious affiliation or association.
-
D.
hasNameInReligionOrFolklore
Indicates that an entity is known by a particular name specifically within a religious or folkloric tradition.
-
E.
traditionalReligionName
Indicates that an entity has a name specifically associated with a traditional or indigenous religion.
- F. None of above.
Provenance (3 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40c48088190a61e9a73919bace5 |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.