Triple
T10046012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Commission on the General Conference |
E207616
|
entity |
| Predicate | typeOfAssemblyServed |
P91806
|
FINISHED |
| Object | denominational legislative assembly |
—
|
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: denominational legislative assembly | Statement: [General Commission on the General Conference, typeOfAssemblyServed, denominational legislative assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAssemblyServed Context triple: [General Commission on the General Conference, typeOfAssemblyServed, denominational legislative assembly]
-
A.
servesType
Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
-
B.
categoryOfPeopleServed
Indicates the type or group of people that are the primary recipients or beneficiaries of a service or activity.
-
C.
servingStyle
Indicates how something (typically food or drink) is presented or offered for consumption or use.
-
D.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
-
E.
servesDish
Indicates that one entity prepares and presents a specific dish as food for another entity.
- F. None of above. chosen
Provenance (4 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf648f548190a7aa3b1594665831 |
completed | April 2, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:56 p.m.