Triple
T390199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin America |
E8862
|
entity |
| Predicate | hasIndigenousLanguage |
P4185
|
FINISHED |
| Object | Quechua |
E3862
|
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: Quechua | Statement: [Latin America, hasIndigenousLanguage, Quechua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quechua Context triple: [Latin America, hasIndigenousLanguage, Quechua]
-
A.
Quechua
chosen
Quechua is an indigenous language family of the central Andes, historically associated with the Inca Empire and still widely spoken across several South American countries.
-
B.
Aymara
Aymara is an indigenous language spoken primarily by the Aymara people of the central Andes in countries such as Bolivia, Peru, and Chile.
-
C.
Guaraní
Guaraní is an indigenous South American language of the Tupi–Guaraní family, widely spoken in Paraguay and neighboring countries and notable for its strong cultural and national significance.
-
D.
Aguaruna language
The Aguaruna language is a Jivaroan language spoken by the Aguaruna (Awajún) people of northern Peru, closely related to the Shuar language of Ecuador.
-
E.
Boliviano
The Boliviano is the official monetary unit of Bolivia, used for everyday transactions and financial operations throughout the country.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5bdc848190826701590070497b |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4035310608190a1e0f807cb93e1e1 |
completed | March 1, 2026, 9:13 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.