Triple
T23952353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dīwān (collection of poems) |
E603081
|
entity |
| Predicate | extendsTeachingsOf |
P131491
|
FINISHED |
| Object | Jalāl al-Dīn Rūmī |
—
|
NE NERFINISHED |
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: Jalāl al-Dīn Rūmī | Statement: [Dīwān (collection of poems), extendsTeachingsOf, Jalāl al-Dīn Rūmī]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendsTeachingsOf Context triple: [Dīwān (collection of poems), extendsTeachingsOf, Jalāl al-Dīn Rūmī]
-
A.
containsTeachingOf
chosen
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
-
B.
completesTeachingsOf
Indicates that one entity finishes, fulfills, or brings to completion the teachings or doctrinal content associated with another entity.
-
C.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
-
D.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
E.
sharesTeachingsWith
Indicates that one entity communicates or imparts its knowledge, doctrines, or instructional content to another entity.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d48bc881909d58d258757e67ad |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:20 p.m.