Triple
T33892397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Gizo |
E868803
|
entity |
| Predicate | hasHealthApostolate |
P192857
|
FINISHED |
| Object | Catholic clinics and health centers |
—
|
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: Catholic clinics and health centers | Statement: [Roman Catholic Diocese of Gizo, hasHealthApostolate, Catholic clinics and health centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHealthApostolate Context triple: [Roman Catholic Diocese of Gizo, hasHealthApostolate, Catholic clinics and health centers]
-
A.
hasApostle
Indicates that a person or deity is associated with, or has, one or more apostles devoted to following or spreading their teachings.
-
B.
hasHealthArea
Indicates that an entity is associated with, or falls within the scope of, a particular health-related domain or area of concern.
-
C.
hasChaplain
Indicates that an entity is served or attended to by a designated chaplain.
-
D.
hasHealthProgram
Indicates that an entity provides, administers, or is associated with a specific health-related program or initiative.
-
E.
hasApostolateType
chosen
Indicates that an entity is associated with or carries out a specific type of apostolic mission or ministry.
- 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_69f34996761c8190864e42f7c9cf215b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 1, 2026, 1:48 a.m.