Triple
T19536839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odense Cathedral School |
E488787
|
entity |
| Predicate | hasSchoolTypeHistory |
P136697
|
FINISHED |
| Object | transitioned from church-run to state-run institution |
—
|
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: transitioned from church-run to state-run institution | Statement: [Odense Cathedral School, hasSchoolTypeHistory, transitioned from church-run to state-run institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolTypeHistory Context triple: [Odense Cathedral School, hasSchoolTypeHistory, transitioned from church-run to state-run institution]
-
A.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
B.
hasSchoolCategory
Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
-
C.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
D.
schoolTypeAttended
Indicates the specific type or category of school that an entity has attended.
-
E.
hasBoardingSchool
Indicates that an entity operates, contains, or is associated with a boarding school where students both study and reside.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386f0fac819081bbc29172c8965e |
completed | April 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:41 p.m.