Triple
T7730554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konda-Dora |
E175237
|
entity |
| Predicate | isTaughtFormally |
P78838
|
FINISHED |
| Object | rarely |
—
|
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: rarely | Statement: [Konda-Dora, isTaughtFormally, rarely]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTaughtFormally Context triple: [Konda-Dora, isTaughtFormally, rarely]
-
A.
isTaughtInformallyIn
Indicates that something is taught or learned in an informal setting or context, rather than through formal instruction.
-
B.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
-
C.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
D.
hasTeachingContext
Indicates that an entity is associated with a specific educational or instructional setting in which teaching occurs.
-
E.
areTaughtIn
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7074cd1f081908d5e8951660e7271 |
completed | March 27, 2026, 10:40 p.m. |
Created at: March 27, 2026, 4:06 p.m.