Triple
T20633056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tepehuán de Durango |
E507004
|
entity |
| Predicate | linguisticTypologyArea |
P17400
|
FINISHED |
| Object | Mesoamerican and Uto-Aztecan contact zone |
—
|
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: Mesoamerican and Uto-Aztecan contact zone | Statement: [Tepehuán de Durango, linguisticTypologyArea, Mesoamerican and Uto-Aztecan contact zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticTypologyArea Context triple: [Tepehuán de Durango, linguisticTypologyArea, Mesoamerican and Uto-Aztecan contact zone]
-
A.
linguisticArea
chosen
Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
-
B.
languageArea
Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
-
C.
linguisticStatusOfArea
Indicates the linguistic status or condition that characterizes a particular geographic area.
-
D.
ethnoLinguisticRegionOf
Indicates that a region is defined or characterized by the shared ethnic and linguistic identity of the group associated with it.
-
E.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
- F. None of above.
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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0bdcd88190a59d68e03370b271 |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 16, 2026, 11:42 a.m.