Triple
T15094947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akbarnama |
E360513
|
entity |
| Predicate | hasIllustratedManuscripts |
P2386
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Akbarnama, hasIllustratedManuscripts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIllustratedManuscripts Context triple: [Akbarnama, hasIllustratedManuscripts, yes]
-
A.
hasIllustrationsBy
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
B.
hasIllustrations
chosen
Indicates that an entity includes or is accompanied by visual illustrations.
-
C.
hasIllustratedCharacters
Indicates that something includes or features characters that are depicted through illustrations.
-
D.
areManuscriptsOf
Indicates that the subject entities are manuscripts that are versions, copies, or instances of the work represented by the object entity.
-
E.
notableManuscriptFeature
Indicates that a manuscript possesses a specific distinguishing characteristic, attribute, or element that is considered noteworthy or significant.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054571a48190a57055c0d6e90f82 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:04 a.m.