Triple
T34440741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nsukwa |
E884087
|
entity |
| Predicate | hasPrimaryReligionDenominations |
P203993
|
FINISHED |
| Object | Catholic Church |
E569368
|
NE FINISHED |
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: [Nsukwa, hasPrimaryReligionDenominations, Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryReligionDenominations Context triple: [Nsukwa, hasPrimaryReligionDenominations, Catholic Church]
-
A.
denominations
Indicates the specific units or categories into which something (often money, values, or items) is divided or classified.
-
B.
hasPrimaryReligionComplex
Indicates that an entity is primarily associated with, practices, or is characterized by a particular religion or religious complex.
-
C.
hasSecondaryReligion
Indicates that an entity practices, adheres to, or is associated with a secondary religion in addition to its primary religion.
-
D.
denominationsInclude
Indicates that a set of denominations contains or encompasses a particular denomination as one of its members.
-
E.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
- F. None of above. chosen
Provenance (5 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a030713bd2881908bcc69e7d1e9fd09 |
completed | May 12, 2026, 10:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a371826a2348190b9969d548d0d08c1 |
completed | June 20, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_6a0304c29abc819085ffd17ab9a8c844 |
completed | May 12, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_6a030712df548190b8b91ecaa5a1fc5e |
completed | May 12, 2026, 10:55 a.m. |
Created at: May 1, 2026, 2 a.m.