Triple
T5459807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashokan inscriptions |
E122567
|
entity |
| Predicate | deciphermentOfBrahmi |
P32642
|
FINISHED |
| Object | aided by Ashokan inscriptions |
—
|
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: aided by Ashokan inscriptions | Statement: [Ashokan inscriptions, deciphermentOfBrahmi, aided by Ashokan inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deciphermentOfBrahmi Context triple: [Ashokan inscriptions, deciphermentOfBrahmi, aided by Ashokan inscriptions]
-
A.
deciphermentContributor
Indicates that an entity contributed to the process of deciphering or interpreting another entity (such as a text, code, or inscription).
-
B.
deciphermentStatus
Indicates the degree to which something (such as a text, code, or inscription) has been successfully decoded or interpreted.
-
C.
deciphermentYear
Indicates the year in which something (typically a script, code, or inscription) was successfully deciphered or interpreted.
-
D.
deciphermentDate
Indicates the date on which something (such as a text, code, or inscription) was successfully deciphered or decoded.
-
E.
decipheredFrom
chosen
Indicates that something has been interpreted, decoded, or understood based on information derived from another source.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.