Triple
T14010540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nupoid |
E337065
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Kupa language |
E1073883
|
NE FINISHED |
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: Kupa language | Statement: [Nupoid, hasMember, Kupa language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kupa language Context triple: [Nupoid, hasMember, Kupa language]
-
A.
Kupa language
chosen
The Kupa language is a Nupoid language spoken by the Kupa people of central Nigeria.
-
B.
Cupeno language
The Cupeño language is an endangered Uto-Aztecan language historically spoken by the Cupeño people of Southern California.
-
C.
Capul language
Capul language, also known as Inabaknon, is an Austronesian language spoken primarily on Capul Island in Northern Samar, Philippines.
-
D.
Khaput language
The Khaput language is a lesser-known member of the Northeast Caucasian language family spoken by a small community in the Caucasus region.
-
E.
Kapon languages
Kapon languages are a small group of closely related Cariban languages spoken by indigenous Kapon peoples in the Guiana Highlands of northern South America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32b459c81908b652286f444e940 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.