Triple
T33511149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Father Philip Lamont |
E858249
|
entity |
| Predicate | countryOfReligiousAffiliation |
P202796
|
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: [Father Philip Lamont, countryOfReligiousAffiliation, Roman Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfReligiousAffiliation Context triple: [Father Philip Lamont, countryOfReligiousAffiliation, Roman Catholic Church]
-
A.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
B.
religionInCountry
Indicates that a particular religion is practiced, present, or recognized within a specified country.
-
C.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
D.
placeOfWorshipCountry
Indicates that a place of worship is located within or belongs to a specific country.
-
E.
religiousAffiliationStatus
Indicates the current state or condition of an entity’s religious affiliation, such as whether and how it is formally associated with a particular religion or belief system.
- F. None of above. chosen
Provenance (4 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00bc079314819096271bba60bee52d |
completed | May 10, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_6a00bba5bd408190ace5db0c4a90dc6f |
completed | May 10, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_6a00bc06bf3081908973b6c05797299f |
completed | May 10, 2026, 5:10 p.m. |
Created at: May 1, 2026, 1:38 a.m.