Triple
T24360197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eora language |
E614033
|
entity |
| Predicate | exampleLoanword |
P82067
|
FINISHED |
| Object | kangaroo (disputed, often attributed to Guugu Yimithirr but associated with early Sydney vocabularies) |
—
|
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: kangaroo (disputed, often attributed to Guugu Yimithirr but associated with early Sydney vocabularies) | Statement: [Eora language, exampleLoanword, kangaroo (disputed, often attributed to Guugu Yimithirr but associated with early Sydney vocabularies)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleLoanword Context triple: [Eora language, exampleLoanword, kangaroo (disputed, often attributed to Guugu Yimithirr but associated with early Sydney vocabularies)]
-
A.
loanwordsFrom
Indicates that one language has borrowed words from another language.
-
B.
hasCommonLoanwordsFrom
Indicates that two languages share loanwords that originate from the same source language.
-
C.
exampleWord
chosen
Indicates that one entity serves as an illustrative or representative instance of another entity or concept.
-
D.
lexifierLanguage
Indicates that one language serves as the primary source or base language from which the core vocabulary and structure of another language, typically a pidgin or creole, are derived.
-
E.
languageOfWord
Indicates that a particular language is the one in which a given word is expressed or defined.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29383ccb88190a4752fe7ccd93fd5 |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.