Triple
T21650710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marovo language |
E534328
|
entity |
| Predicate | isRelatedTo |
P37
|
FINISHED |
| Object | Ghanongga 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: Ghanongga language | Statement: [Marovo language, isRelatedTo, Ghanongga language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghanongga language Context triple: [Marovo language, isRelatedTo, Ghanongga language]
-
A.
Ghanongga language
chosen
The Ghanongga language is an Oceanic language spoken by indigenous communities on New Georgia Island in the Solomon Islands.
-
B.
Gonja language
The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
-
C.
Gahuku language
Gahuku language is a Papuan language spoken by the Gahuku people in Papua New Guinea.
-
D.
Ganguela language
The Ganguela language is a Bantu language spoken by the Ganguela people of southwestern Africa, particularly in Angola.
-
E.
Gathang language
Gathang language is an Aboriginal Australian language traditionally spoken by the Worimi and neighboring peoples of the mid-north coast of New South Wales.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5913cd9c81908a6ce9bc741416bf |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:35 p.m.