Triple
T33842217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elcho Island |
E867386
|
entity |
| Predicate | majorLinguisticCentreFor |
P28898
|
FINISHED |
| Object | Yolngu languages |
—
|
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: Yolngu languages | Statement: [Elcho Island, majorLinguisticCentreFor, Yolngu languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorLinguisticCentreFor Context triple: [Elcho Island, majorLinguisticCentreFor, Yolngu languages]
-
A.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
B.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
-
C.
standardLanguageCenter
chosen
Indicates that an entity serves as the primary or officially recognized language center or hub for another entity (such as an organization, region, or system).
-
D.
linguisticStatusOfArea
Indicates the linguistic status or condition that characterizes a particular geographic area.
-
E.
capitalLanguage
Indicates that the specified language is the primary or official language used in the capital city of a given entity.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:47 a.m.