Triple
T23333374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konkow Maidu |
E591505
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Concow |
—
|
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: Concow | Statement: [Konkow Maidu, hasAlternativeName, Concow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concow Context triple: [Konkow Maidu, hasAlternativeName, Concow]
-
A.
Concow
chosen
Concow is a dialect of the Konkow (Northwestern Maidu) language traditionally spoken by the Concow people of northern California.
-
B.
Pianka
Pianka is the surname of Eric R. Pianka, an influential American ecologist known for his work on lizard ecology and evolutionary biology.
-
C.
Coyuya
Coyuya is a Mexico City Metro station serving the eastern part of the city on Line 8.
-
D.
Meoqui
Meoqui is a municipality and town in the state of Chihuahua, Mexico, known for its agricultural activity and proximity to the city of Delicias.
-
E.
Bisonó
Bisonó is a municipality in the Dominican Republic’s Santiago Province, known for its agricultural activity and growing local commerce.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197efd98c819083635a2b8440f3eb |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:16 p.m.