Triple
T14542581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean Child |
E341205
|
entity |
| Predicate | hasNameTranslationDirection |
P20095
|
FINISHED |
| Object | Hawaiian-to-English |
—
|
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: Hawaiian-to-English | Statement: [Ocean Child, hasNameTranslationDirection, Hawaiian-to-English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameTranslationDirection Context triple: [Ocean Child, hasNameTranslationDirection, Hawaiian-to-English]
-
A.
translationDirection
chosen
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
-
B.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
C.
hasTransliterationRole
Indicates that an entity participates in a transliteration process with a specific role (e.g., source, target, or agent of transliteration).
-
D.
hasTranslationBase
Indicates that one entity serves as the original source or base text from which the other entity is translated.
-
E.
canTranslateBetween
Indicates that an entity has the ability to translate or convert information accurately between two specified languages, formats, or representation systems.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1be5a8081909bf727e28a5bba4a |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.