Triple
T25772472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidayat al-Mubtadi |
E649058
|
entity |
| Predicate | relationToEarlierWorks |
P81108
|
FINISHED |
| Object | epitome of earlier Hanafi texts |
—
|
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: epitome of earlier Hanafi texts | Statement: [Bidayat al-Mubtadi, relationToEarlierWorks, epitome of earlier Hanafi texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToEarlierWorks Context triple: [Bidayat al-Mubtadi, relationToEarlierWorks, epitome of earlier Hanafi texts]
-
A.
hasRelationToOtherWork
chosen
Indicates that one work bears a specified relationship (such as adaptation, sequel, reference, or influence) to another distinct work.
-
B.
relatedToAuthorWork
Indicates that there is a connection or association between an author and a work they have created, contributed to, or are otherwise linked with.
-
C.
relatedWorkBefore
Indicates that one work is temporally or sequentially related to another work that precedes it.
-
D.
chronologyPreviousWorkOf
Indicates that one work temporally precedes and is part of the earlier sequence in the overall body of another work.
-
E.
relatedWorkBySubject
Indicates a relationship where one work is connected to another through sharing the same subject or topic.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 22, 2026, 5:31 a.m.