Triple
T6229492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Tongan |
E139317
|
entity |
| Predicate | teachingSubjectIn |
P48837
|
FINISHED |
| Object | schools in Tonga |
—
|
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: schools in Tonga | Statement: [Standard Tongan, teachingSubjectIn, schools in Tonga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachingSubjectIn Context triple: [Standard Tongan, teachingSubjectIn, schools in Tonga]
-
A.
areTaughtIn
chosen
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
-
B.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
-
C.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
-
D.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
E.
taughtCourse
Indicates that an entity (typically an instructor) has taught a particular course.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d9a33c8190b66dbd89e0e3bbba |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.