Triple
T26294963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbé Sicard |
E661388
|
entity |
| Predicate | taughtUsing |
P40656
|
FINISHED |
| Object | written French |
—
|
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: written French | Statement: [Abbé Sicard, taughtUsing, written French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taughtUsing Context triple: [Abbé Sicard, taughtUsing, written French]
-
A.
taughtThrough
chosen
Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
-
B.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
C.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
-
D.
taught at
Indicates that one entity served as an instructor or teacher at a particular institution, organization, or location.
-
E.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ead95e08190bff727f2dac46eea |
completed | May 2, 2026, 2:48 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:11 p.m.