Triple
T22160056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gathang language |
E547642
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Worimi language |
—
|
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: Worimi language | Statement: [Gathang language, alternativeName, Worimi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worimi language Context triple: [Gathang language, alternativeName, Worimi language]
-
A.
Worimi language
chosen
Worimi language is an Aboriginal Australian language traditionally spoken by the Worimi people of the mid-north coast of New South Wales.
-
B.
Gworam language
The Gworam language is a Plateau language of central Nigeria spoken by the Gworam people and closely related to other Angas–Sura varieties.
-
C.
Waigali language
The Waigali language is a Nuristani language spoken by the Waigal people in eastern Afghanistan.
-
D.
Wauja language
The Wauja language is an indigenous Arawakan language spoken by the Wauja people of Brazil’s Upper Xingu region in the Amazon.
-
E.
Warihío language
The Warihío language is an indigenous Uto-Aztecan language spoken by the Warihío people of northwestern Mexico.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2c17a4819082fb9e4aaa275462 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:33 p.m.