Triple
T15094924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akbarnama |
E360513
|
entity |
| Predicate | firstVolumeContent |
P50769
|
FINISHED |
| Object | genealogy and history of the Timurids and early life of Akbar |
—
|
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: genealogy and history of the Timurids and early life of Akbar | Statement: [Akbarnama, firstVolumeContent, genealogy and history of the Timurids and early life of Akbar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVolumeContent Context triple: [Akbarnama, firstVolumeContent, genealogy and history of the Timurids and early life of Akbar]
-
A.
firstPartTitle
Indicates that one entity is the first part or initial segment of the title of another entity.
-
B.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
C.
firstPage
Indicates that one entity is the first page or initial section in the ordered sequence of pages of another entity.
-
D.
firstFascicleTitle
Indicates the title assigned to the first fascicle (initial installment or part) of a multi-part work.
-
E.
Book1Content
chosen
Indicates that one entity is the content (text, material, or subject matter) contained within a specific book 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_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.