Triple
T1819083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runashimi |
E40500
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Imbabura Kichwa |
E39500
|
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: Imbabura Kichwa | Statement: [Runashimi, hasDialects, Imbabura Kichwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imbabura Kichwa Context triple: [Runashimi, hasDialects, Imbabura Kichwa]
-
A.
Imbabura Kichwa
chosen
Imbabura Kichwa is a regional variety of the Kichwa (Quechuan) language spoken primarily by Indigenous communities in Ecuador’s Imbabura province.
-
B.
Chocontá
Chocontá is a municipality and town in central Colombia known for its agricultural production and colonial-era history.
-
C.
Zipaquirá
Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
-
D.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
E.
Chiquinquirá
Chiquinquirá is a Colombian town known as a major religious pilgrimage center and the site of the Basilica of Our Lady of the Rosary of Chiquinquirá.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65f8c4e48190925aec9916dd6c30 |
completed | March 6, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9ac97e081908ab1d30fa41c3e9b |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:32 p.m.