Triple
T27361669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran |
E685842
|
entity |
| Predicate | associatedWithReligionOfReferent |
P27867
|
FINISHED |
| Object | Roman Catholic Church |
—
|
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 Catholic Church | Statement: [Gran, associatedWithReligionOfReferent, Roman Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithReligionOfReferent Context triple: [Gran, associatedWithReligionOfReferent, Roman Catholic Church]
-
A.
associatedReligionText
Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
-
B.
hasAssociatedReligion
chosen
Indicates that an entity is connected with or linked to a particular religion.
-
C.
associatedReligionOrBelief
Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
-
D.
associatedReligionRole
Indicates that one entity holds a specific religious role, office, or function in relation to another entity.
-
E.
religiousObjectAssociated
Indicates that a religious object is associated with, connected to, or used in relation to another entity (such as a person, place, event, or practice).
- 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ffe613c03481909f3043ec8bf0bed9 |
completed | May 10, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69ffe4a73fb4819091600725a443981a |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 27, 2026, 11:54 a.m.