Triple
T27445743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coxs River |
E692272
|
entity |
| Predicate | languageGroupCountry |
P134083
|
FINISHED |
| Object | Gundungurra language group |
—
|
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: Gundungurra language group | Statement: [Coxs River, languageGroupCountry, Gundungurra language group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageGroupCountry Context triple: [Coxs River, languageGroupCountry, Gundungurra language group]
-
A.
languageGroupName
Indicates the name assigned to a particular language group or linguistic classification.
-
B.
languageFamilyRegion
Indicates the geographic region or area in which a language family is predominantly found or historically associated.
-
C.
languageGroupAttribution
chosen
Indicates that an entity is associated with, classified under, or attributed to a particular language group.
-
D.
countryOfLanguage
Indicates that a particular language is officially or predominantly used within a specified country.
-
E.
languageArea
Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
- 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_69ef5206c9248190b5975c2a7f9d229c |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 27, 2026, 12:46 p.m.