Triple
T10319356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdiocese of Philadelphia |
E242099
|
entity |
| Predicate | hasCatholicSchools |
P28677
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Archdiocese of Philadelphia, hasCatholicSchools, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatholicSchools Context triple: [Archdiocese of Philadelphia, hasCatholicSchools, yes]
-
A.
hasCatholicSchoolBoard
Indicates that a given region or jurisdiction is served by, or falls under the authority of, a Catholic school board.
-
B.
hasParochialSchool
chosen
Indicates that an entity operates, is associated with, or includes a parochial (religious-affiliated) school.
-
C.
hasCatholicDiocese
Indicates that a specified place or region falls under the jurisdiction of a particular Catholic diocese.
-
D.
hasNumberOfSchools
Indicates the quantity of schools associated with a given entity.
-
E.
hasSchoolDistricts
Indicates that one entity administers, contains, or is associated with one or more school districts.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f4f354819080b4ed4bc61bdff6 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:49 a.m.