Triple
T24735294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisters of Saint Francis of Rochester, Minnesota |
E618396
|
entity |
| Predicate | ministersIn |
P157067
|
FINISHED |
| Object | healthcare institutions |
—
|
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: healthcare institutions | Statement: [Sisters of Saint Francis of Rochester, Minnesota, ministersIn, healthcare institutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ministersIn Context triple: [Sisters of Saint Francis of Rochester, Minnesota, ministersIn, healthcare institutions]
-
A.
ministersTo
Indicates that one entity provides care, service, or assistance to another, often in a supportive or pastoral role.
-
B.
ministerIs
Indicates that one entity serves in the role or capacity of a minister in relation to another entity.
-
C.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
D.
ministerIsMemberOf
Indicates that a minister belongs to, and holds membership in, a particular governing body, organization, or institution.
-
E.
primeMinisterInGovernment
Indicates that a person holds the position of prime minister within a specific government.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:03 a.m.