Triple
T33098206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Jesus Christ (Cutlerite) |
E846968
|
entity |
| Predicate | hasMembershipSize |
P9078
|
FINISHED |
| Object | very small |
—
|
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: very small | Statement: [Church of Jesus Christ (Cutlerite), hasMembershipSize, very small]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMembershipSize Context triple: [Church of Jesus Christ (Cutlerite), hasMembershipSize, very small]
-
A.
hasTypicalMemberSize
Indicates the usual or characteristic size associated with members of a given class or group.
-
B.
hasCurrentNumberOfMembers
chosen
Indicates the current count of members associated with a given entity.
-
C.
hasMemberCountType
Indicates the type or classification used to describe how the number of members in a group or collection is represented.
-
D.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
E.
hasMaximumNumberOfMembers
Indicates that there is an upper limit on how many members can be associated with a given entity.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 1, 2026, 1:26 a.m.