Triple
T21960561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle de Toluca region |
E542314
|
entity |
| Predicate | indigenousLanguage |
P6149
|
FINISHED |
| Object | Otomi |
—
|
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: Otomi | Statement: [Valle de Toluca region, indigenousLanguage, Otomi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otomi Context triple: [Valle de Toluca region, indigenousLanguage, Otomi]
-
A.
Otomi
chosen
Otomi is an indigenous Oto-Manguean language spoken by the Otomi people across several states in central Mexico.
-
B.
Kaska
Kaska is an Athabaskan Indigenous language traditionally spoken by the Kaska Dena people of northern Canada, primarily in the Yukon and northern British Columbia.
-
C.
Ogiso
Ogiso is the traditional title of the early divine kings of the ancient Benin kingdom, ruling the realm known as Igodomigodo before the rise of the Oba dynasty.
-
D.
Toltichi
Toltichi is a dialect of the Southern Valley Yokuts language traditionally spoken by Indigenous Yokuts people of California’s Central Valley.
-
E.
Jotana
Jotana is a town located in the Mahesana district of the Indian state of Gujarat.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12455e99c819092ec59fe571f814e |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8 p.m.