Triple
T19495643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanema language |
E487761
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Lovono 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: Lovono language | Statement: [Tanema language, closelyRelatedTo, Lovono language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovono language Context triple: [Tanema language, closelyRelatedTo, Lovono language]
-
A.
Lovono language
chosen
The Lovono language is an Oceanic language spoken in the Temotu Province of the Solomon Islands, belonging to the Temotu subgroup of Austronesian languages.
-
B.
Loniu language
The Loniu language is an Oceanic language spoken on Loniu Island in Manus Province, Papua New Guinea.
-
C.
Lavukaleve language
Lavukaleve is a Papuan language spoken by the Lavukal people of the Russell Islands in the Solomon Islands, known for its complex grammar and status as one of the Central Solomons languages.
-
D.
Lotuko language
The Lotuko language is an Eastern Nilotic language spoken primarily by the Lotuko people of South Sudan.
-
E.
Luwo language
The Luwo language is a Western Nilotic language spoken primarily by the Luwo people of South Sudan.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349182ec81908dd301f802530eec |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.