Triple
T23758042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauryan mining administration |
E587172
|
entity |
| Predicate | officialTitleInSanskrit |
P51323
|
FINISHED |
| Object | Akaradhyaksha |
—
|
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: Akaradhyaksha | Statement: [Mauryan mining administration, officialTitleInSanskrit, Akaradhyaksha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialTitleInSanskrit Context triple: [Mauryan mining administration, officialTitleInSanskrit, Akaradhyaksha]
-
A.
titleInSanskritScript
Indicates that the title of an entity is expressed using the Sanskrit writing system.
-
B.
officialTitleInLanguage
chosen
Indicates that an entity’s official title or designation is expressed in a specified language.
-
C.
nameInSanskrit
Indicates that one entity is the name or designation of another entity when expressed in the Sanskrit language.
-
D.
titleInKannadaScript
Indicates that the title of an entity is written or represented in the Kannada script.
-
E.
traditionalTitleGivenBy
Indicates that one entity has conferred or assigned a traditional or customary title 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdad46888190b438b22985838640 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.