Triple
T37704992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudradaman I |
E939174
|
entity |
| Predicate | inscriptionLanguageSignificance |
P189190
|
FINISHED |
| Object | among earliest extensive royal inscriptions in classical Sanskrit |
—
|
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: among earliest extensive royal inscriptions in classical Sanskrit | Statement: [Rudradaman I, inscriptionLanguageSignificance, among earliest extensive royal inscriptions in classical Sanskrit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionLanguageSignificance Context triple: [Rudradaman I, inscriptionLanguageSignificance, among earliest extensive royal inscriptions in classical Sanskrit]
-
A.
linguisticSignificance
Indicates the degree to which something is important, influential, or meaningful within a particular language or linguistic system.
-
B.
languageOfSignatures
Indicates the language in which the signatures on a document or agreement are written or expressed.
-
C.
inscriptionsLanguage
Indicates that the language used in the inscriptions on an object or surface is the specified language.
-
D.
signatureLanguage
Indicates the language in which a signature (e.g., on a document or agreement) is written or expressed.
-
E.
languageOfSignage
Indicates the language used on signs or written displays associated with an entity.
- F. None of above. chosen
Provenance (4 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbb9e69b7481909beaf8264d87c5e5 |
completed | May 6, 2026, 10 p.m. |
Created at: May 3, 2026, 4:18 p.m.