Triple
T23372613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schulpforta |
E593513
|
entity |
| Predicate | convertedToSchoolIn |
P152480
|
FINISHED |
| Object | 1543 |
—
|
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: 1543 | Statement: [Schulpforta, convertedToSchoolIn, 1543]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToSchoolIn Context triple: [Schulpforta, convertedToSchoolIn, 1543]
-
A.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
B.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
C.
originatedInSchool
Indicates that an entity began, was first formed, or was initially developed within a particular school or educational institution.
-
D.
hasSchoolOrganization
Indicates that an educational institution is associated with or contains a specific school-related organization or group.
-
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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 5:33 p.m.