Triple
T19145334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gbaya |
E468663
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Toongo 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: Toongo language | Statement: [Gbaya, language, Toongo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toongo language Context triple: [Gbaya, language, Toongo language]
-
A.
Toongo language
chosen
The Toongo language is a lesser-known Gbaya language spoken by a small ethnic community in Central Africa.
-
B.
Touo language
Touo is an Oceanic language spoken by a small community in the Solomon Islands, noted for its distinct phonology and limited number of speakers.
-
C.
Tonsea language
Tonsea is an Austronesian language spoken by the Tonsea people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
-
D.
Toundanow language
The Toundanow language is an Austronesian language spoken by the Tonsawang people of northern Sulawesi, Indonesia.
-
E.
Tindi language
The Tindi language is a Northeast Caucasian language spoken by the Tindi people in Dagestan, Russia, known for its complex grammar and limited number of speakers.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e978b0b481909a531efa030c5def |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.