Triple
T22932896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaili–Pamona languages |
E569488
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Tomi 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: Tomi language | Statement: [Kaili–Pamona languages, hasMember, Tomi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomi language Context triple: [Kaili–Pamona languages, hasMember, Tomi language]
-
A.
Tomini languages
chosen
The Tomini languages are a group of closely related Austronesian languages spoken primarily along the northern coast of Central Sulawesi, Indonesia.
-
B.
Tanema language
Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
-
C.
Tumari language
The Tumari language is a lesser-known Saharan language spoken by communities in parts of the central Sahara region of Africa.
-
D.
Pokomo language
The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
-
E.
Teguima language
The Teguima language is an extinct Uto-Aztecan language once spoken by the Opata people of northern 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181337ff881909d90cf3f5bae7516 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.