Triple
T14570996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahikan |
E341910
|
entity |
| Predicate | isTranslatedAs |
P43484
|
FINISHED |
| Object | People of the waters that are never still |
—
|
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: People of the waters that are never still | Statement: [Mahikan, isTranslatedAs, People of the waters that are never still]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTranslatedAs Context triple: [Mahikan, isTranslatedAs, People of the waters that are never still]
-
A.
alsoTranslatedAs
chosen
Indicates that something has an alternative translation or rendering in another language or form.
-
B.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
C.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
-
D.
hasTranslated
Indicates that one entity has rendered the content of another entity from one language into a different language.
-
E.
languageTranslatedFrom
Indicates that a language is the source/original language from which content has been translated into another language.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f2121481908f2385637944785d |
completed | April 14, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.