Triple
T2482484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of East Tennessee |
E55849
|
entity |
| Predicate | hasMinistries |
P40297
|
FINISHED |
| Object | Episcopal ministries |
—
|
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: Episcopal ministries | Statement: [Diocese of East Tennessee, hasMinistries, Episcopal ministries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinistries Context triple: [Diocese of East Tennessee, hasMinistries, Episcopal ministries]
-
A.
numberOfMinistries
Indicates the total count of ministries associated with or belonging to a given entity.
-
B.
hasMediaMinistry
Indicates that an entity operates, oversees, or is associated with a ministry or department responsible for media-related affairs.
-
C.
supportedMinistryOf
Indicates that one entity provided assistance, endorsement, or resources to help carry out the ministry or religious service activities of another entity.
-
D.
hasLayMinistry
Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
-
E.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd209d934819093600889af9104c3 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:45 p.m.