Triple
T29300414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanban |
E742940
|
entity |
| Predicate | remadeFromLanguage |
P36901
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [Nanban, remadeFromLanguage, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remadeFromLanguage Context triple: [Nanban, remadeFromLanguage, Hindi]
-
A.
remakeLanguage
chosen
Indicates that one entity creates a new version or adaptation of another entity in a different language.
-
B.
remadeFor
Indicates that one work has been recreated or adapted specifically for another context, audience, or medium.
-
C.
adaptedInLanguage
Indicates that a work or content has been modified or translated so it can be presented or understood in a specified language.
-
D.
remakeOfContext
Indicates that one context is a remake or re-creation of another pre-existing context, preserving core elements while producing a new version.
-
E.
hasRemake
Indicates that one work is a new version or recreation of an earlier existing work.
- 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f665a2ab44819080b1c5f711c229e4 |
completed | May 2, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:09 p.m.