Triple
T15094925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akbarnama |
E360513
|
entity |
| Predicate | secondVolumeContent |
P43291
|
FINISHED |
| Object | political and military events of Akbar’s reign |
—
|
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: political and military events of Akbar’s reign | Statement: [Akbarnama, secondVolumeContent, political and military events of Akbar’s reign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondVolumeContent Context triple: [Akbarnama, secondVolumeContent, political and military events of Akbar’s reign]
-
A.
secondVolume
Indicates that one entity is the second volume or installment in a multi-volume work or series relative to another entity.
-
B.
secondaryContentType
chosen
Indicates the type or category of additional, non-primary content associated with an entity or resource.
-
C.
secondPartTitle
Indicates that one entity is the second part of the title of another entity.
-
D.
secondElement
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
E.
secondVersion
Indicates that one entity is a later or updated second version of 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_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.