Triple
T25864404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 UCA massacre |
E651571
|
entity |
| Predicate | religiousAffiliationOfPriests |
P63274
|
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: [1989 UCA massacre, religiousAffiliationOfPriests, Roman Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousAffiliationOfPriests Context triple: [1989 UCA massacre, religiousAffiliationOfPriests, Roman Catholic Church]
-
A.
religiousAffiliationOfDiocese
Indicates the religious denomination or tradition with which a given diocese is formally associated.
-
B.
priests
chosen
Indicates that the subject serves in a religious or spiritual officiating role, typically performing sacred rituals or duties for a faith community.
-
C.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
D.
clergyComposition
Indicates the makeup or distribution of different types of clergy within a religious organization or context.
-
E.
clergySystem
Indicates a relationship in which an organized religious institution or tradition has a structured system of clergy roles, ranks, or offices.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 22, 2026, 8:06 a.m.