Triple
T13473618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astronomy Tower, Hogwarts |
E318190
|
entity |
| Predicate | hasSubjectTaught |
P48837
|
FINISHED |
| Object | Astronomy |
—
|
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: Astronomy | Statement: [Astronomy Tower, Hogwarts, hasSubjectTaught, Astronomy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectTaught Context triple: [Astronomy Tower, Hogwarts, hasSubjectTaught, Astronomy]
-
A.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
B.
taughtCourse
Indicates that an entity (typically an instructor) has taught a particular course.
-
C.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
-
D.
areTaughtIn
chosen
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
-
E.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2447bc81908baf1f4b55095144 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.