Triple
T842098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Churches of Christ |
E18198
|
entity |
| Predicate | estimatedMembership |
P14820
|
FINISHED |
| Object | millions of adherents worldwide |
—
|
LITERAL 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: millions of adherents worldwide | Statement: [Churches of Christ, estimatedMembership, millions of adherents worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedMembership Context triple: [Churches of Christ, estimatedMembership, millions of adherents worldwide]
-
A.
totalMembershipApprox
chosen
Indicates an approximate total count of members associated with an entity.
-
B.
eligibleMembers
Indicates that certain entities meet the required criteria or conditions to be considered eligible members of a specified group or category.
-
C.
membershipStatus
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
-
D.
originalNumberOfMembers
Indicates the initial total count of members in a group or organization before any changes such as additions or removals.
-
E.
membershipAsOf
Indicates that one entity is a member of another entity or group at a specific point in time or as of a given date.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe6f0dc8190a1bebb5e21f4ceac |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7f396c8190aa8b8dfbe0b4f732 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.