Triple
T19383468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gray Beaver |
E484870
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Kiche |
—
|
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: Kiche | Statement: [Gray Beaver, owns, Kiche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiche Context triple: [Gray Beaver, owns, Kiche]
-
A.
Kiche
chosen
Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
-
B.
Kichha
Kichha is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural markets and proximity to the industrial hub of Rudrapur.
-
C.
Kebich
Kebich is a Belarusian surname most notably borne by Vyacheslav Kebich, the first Prime Minister of independent Belarus.
-
D.
Chakosi
Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
-
E.
Kichagga
Kichagga is a Bantu language spoken by the Chagga people of northern Tanzania, particularly on the slopes of Mount Kilimanjaro.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a626b288190a27a30deb0ccabc3 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.