Triple
T28007705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nomuka |
E707323
|
entity |
| Predicate | hasReligionDenomination |
P27867
|
FINISHED |
| Object | Methodist 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: Methodist Church | Statement: [Nomuka, hasReligionDenomination, Methodist Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionDenomination Context triple: [Nomuka, hasReligionDenomination, Methodist Church]
-
A.
mayBelongToDenomination
Indicates that an entity is possibly, but not certainly, affiliated with or a member of a particular denomination.
-
B.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
C.
denominations
Indicates the specific units or categories into which something (often money, values, or items) is divided or classified.
-
D.
hasAssociatedReligion
chosen
Indicates that an entity is connected with or linked to a particular religion.
-
E.
denominationsInclude
Indicates that a set of denominations contains or encompasses a particular denomination as one of its members.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
Created at: April 27, 2026, 8:01 p.m.