Triple
T7872742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hospet |
E182776
|
entity |
| Predicate | regionalLanguageScript |
P63723
|
FINISHED |
| Object | Kannada script |
—
|
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: Kannada script | Statement: [Hospet, regionalLanguageScript, Kannada script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalLanguageScript Context triple: [Hospet, regionalLanguageScript, Kannada script]
-
A.
associatedLanguageScript
Indicates that there is a relationship between a language and the script or writing system used to represent it.
-
B.
nativeNameScript
chosen
Indicates the writing system or script in which an entity’s native name is expressed.
-
C.
languageOfScriptPromoted
Indicates that a particular language is associated with and promoted through the use of a given writing script.
-
D.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
-
E.
regionLanguage
Indicates that a particular language is used or officially recognized within a specific geographic region.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a6d93881908d68386e49bea1e3 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:56 p.m.