Triple
T16032111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Aztecan |
E388870
|
entity |
| Predicate | hasCognateSets |
P121672
|
FINISHED |
| Object | shared cognates across Aztecan languages |
—
|
LITERAL 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: shared cognates across Aztecan languages | Statement: [Proto-Aztecan, hasCognateSets, shared cognates across Aztecan languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCognateSets Context triple: [Proto-Aztecan, hasCognateSets, shared cognates across Aztecan languages]
-
A.
hasCognate
Indicates that two linguistic forms in different languages share a common historical origin, typically descending from the same ancestral word.
-
B.
cognateOf
Indicates that two linguistic forms share a common historical origin, typically descending from the same ancestral word.
-
C.
nameCognateOf
Indicates that two names share a common linguistic origin or form, typically due to derivation from the same root or historical source.
-
D.
hasCommonLoanwordsFrom
Indicates that two languages share loanwords that originate from the same source language.
-
E.
possibleCognateWith
Indicates a relationship where one term is considered a potential cognate of another, suggesting they may share a common historical linguistic origin.
- F. None of above. chosen
Provenance (4 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:56 a.m.