Triple
T36688265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naranappa |
E905882
|
entity |
| Predicate | workFirstPublishedInLanguage |
P121676
|
FINISHED |
| Object | Kannada |
—
|
NE NERFINISHED |
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 | Statement: [Naranappa, workFirstPublishedInLanguage, Kannada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workFirstPublishedInLanguage Context triple: [Naranappa, workFirstPublishedInLanguage, Kannada]
-
A.
firstEuropeanPublicationLanguage
Indicates the language in which an entity was first published in Europe.
-
B.
firstPublishedWork
Indicates that one work is the earliest piece created or released by a particular creator or entity.
-
C.
workFirstPublicationApproximate
Indicates that the date of a work’s first publication is not exact but an approximate or estimated value.
-
D.
publicationLanguageOfSourceWork
Indicates the language in which the original source work was published.
-
E.
firstAppearanceLanguage
chosen
Indicates the language in which an entity (such as a work or character) was first introduced or appeared.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7c5dc0081908f0e289286853c3d |
completed | May 3, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.