Triple
T10364319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elias |
E244213
|
entity |
| Predicate | settingOfSchoolLife |
P27364
|
FINISHED |
| Object | small Danish town |
—
|
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: small Danish town | Statement: [Elias, settingOfSchoolLife, small Danish town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfSchoolLife Context triple: [Elias, settingOfSchoolLife, small Danish town]
-
A.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
-
B.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
C.
educationSetting
chosen
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
D.
campusLife
Indicates the overall experience, activities, and social environment associated with being part of a particular campus or educational institution.
-
E.
awaySchool
Indicates that an entity is located away from or not present at their usual school.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, noon