Triple
T18836428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dashapura inscriptions |
E460676
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | epigraphic records |
C9642
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: epigraphic records Context triple: [Dashapura inscriptions, instanceOf, epigraphic records]
-
A.
ancient inscriptions
Ancient inscriptions are texts or symbols carved, engraved, or written on durable materials such as stone, metal, or clay by past civilizations, serving as primary evidence of their language, culture, beliefs, and historical events.
-
B.
epigraphic language
An epigraphic language is a language known primarily or exclusively from inscriptions carved or written on durable materials such as stone, metal, or pottery, rather than from extensive literary or manuscript traditions.
-
C.
epigraphic museum
An epigraphic museum is a specialized institution that collects, preserves, studies, and displays inscribed objects such as stone, metal, or ceramic texts to illuminate historical languages, cultures, and societies.
-
D.
inscription corpus
chosen
An inscription corpus is a systematically collected and organized body of inscribed texts (such as carvings on stone, metal, or other durable materials) used for linguistic, historical, and archaeological analysis.
-
E.
epigrapher
An epigrapher is a specialist who studies, deciphers, and interprets inscriptions or writings engraved on durable materials such as stone, metal, or pottery to understand historical languages and cultures.
- F. None of above.
Provenance (1 batch)
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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.