Triple
T4986287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisters of the Holy Names of Jesus and Mary |
E112010
|
entity |
| Predicate | ministryArea |
P61323
|
FINISHED |
| Object | Catholic education |
—
|
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 education | Statement: [Sisters of the Holy Names of Jesus and Mary, ministryArea, Catholic education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ministryArea Context triple: [Sisters of the Holy Names of Jesus and Mary, ministryArea, Catholic education]
-
A.
ministry
Indicates that an entity serves as a governmental ministry responsible for specific public functions or policy areas in relation to another entity.
-
B.
administrativeCouncilArea
Indicates that one entity is an administrative council area within which the other entity is located or governed.
-
C.
areaOfAuthority
Indicates the domain, region, or scope within which an entity has official power, control, or responsibility.
-
D.
governanceArea
Indicates the geographic or jurisdictional area over which an entity has governing authority or responsibility.
-
E.
missionaryRegion
Indicates that an entity carries out or is associated with missionary activities within a specified geographic region.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71492dec8190af4c27a3043b35cc |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd742311bc8190be016cac6cebd15d |
completed | March 20, 2026, 4:21 p.m. |
Created at: March 20, 2026, 1:33 p.m.