Triple
T24921577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tafi Abuife |
E618740
|
entity |
| Predicate | primaryReligionDenomination |
P2986
|
FINISHED |
| Object | 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: Catholic Church | Statement: [Tafi Abuife, primaryReligionDenomination, Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryReligionDenomination Context triple: [Tafi Abuife, primaryReligionDenomination, Catholic Church]
-
A.
dominantReligion
chosen
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
B.
officialReligion
Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
-
C.
majorReligionCanBe
Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
-
D.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
E.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 18, 2026, 5:28 a.m.