Triple
T33697827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presbytery of Inverness |
E863362
|
entity |
| Predicate | hasLayMembers |
P7638
|
FINISHED |
| Object | elders representing congregations in its bounds |
—
|
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: elders representing congregations in its bounds | Statement: [Presbytery of Inverness, hasLayMembers, elders representing congregations in its bounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLayMembers Context triple: [Presbytery of Inverness, hasLayMembers, elders representing congregations in its bounds]
-
A.
hasLayMembersCount
Indicates the number of lay (non-clergy or non-professional) members associated with an entity.
-
B.
hasMembers
chosen
Indicates that a group, organization, or collection includes certain entities as its members.
-
C.
hasLayCollaborators
Indicates that an entity is supported or assisted by non-professional or non-specialist collaborators in carrying out its activities or functions.
-
D.
hasMembersWith
Indicates that a group or collection includes one or more specific members that satisfy a given condition or characteristic.
-
E.
hasListOfMembers
Indicates that an entity is associated with a collection containing its members or constituents.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
Created at: May 1, 2026, 1:43 a.m.