Triple
T9025196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of Word and Sacrament |
E216028
|
entity |
| Predicate | officeEmphasizes |
P85916
|
FINISHED |
| Object | centrality of Scripture |
—
|
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: centrality of Scripture | Statement: [Minister of Word and Sacrament, officeEmphasizes, centrality of Scripture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEmphasizes Context triple: [Minister of Word and Sacrament, officeEmphasizes, centrality of Scripture]
-
A.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
B.
officeTerm
Indicates the period of time during which an individual officially holds a particular position or office.
-
C.
officeIn
Indicates that one entity has an office located within the premises or jurisdiction of another entity.
-
D.
officeWon
Indicates that a candidate successfully secured an elected office or position as the result of an election or selection process.
-
E.
officeStyle
Indicates a stylistic or design relationship where one entity’s style is characterized as “office” or suitable for an office environment.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7b902c81909fcbdc433a1acf7a |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f887108819096d45a186fc137b3 |
completed | March 31, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7:07 p.m.