Triple
T4064283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansa language |
E86287
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Kaw language
The Kaw language is a nearly extinct Siouan language traditionally spoken by the Kaw (Kansa) people of the central United States.
|
E410078
|
NE FINISHED |
How this triple was built (4 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: Kaw language | Statement: [Kansa language, alternativeName, Kaw language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaw language Context triple: [Kansa language, alternativeName, Kaw language]
-
A.
Akawaio language
The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
-
B.
Kawaiisu language
Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
-
C.
Kaado language
The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
-
D.
Kam language
Kam is a Tai–Kadai language spoken primarily by the Kam (Dong) people of southern China, known for its rich tonal system and distinct northern and southern dialects.
-
E.
Mikasuki language
The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kaw language Triple: [Kansa language, alternativeName, Kaw language]
Generated description
The Kaw language is a nearly extinct Siouan language traditionally spoken by the Kaw (Kansa) people of the central United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaw language Target entity description: The Kaw language is a nearly extinct Siouan language traditionally spoken by the Kaw (Kansa) people of the central United States.
-
A.
Akawaio language
The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
-
B.
Kawaiisu language
Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
-
C.
Kaado language
The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
-
D.
Kam language
Kam is a Tai–Kadai language spoken primarily by the Kam (Dong) people of southern China, known for its rich tonal system and distinct northern and southern dialects.
-
E.
Mikasuki language
The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
- F. None of above. chosen
Provenance (5 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd7896c81909c61ed0d910d9c5f |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562ae949c819092affaaca97c16d1 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5633103e081909dbe7a7e54877343 |
completed | March 14, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b563eca17c81908deff0d361a7be87 |
completed | March 14, 2026, 1:34 p.m. |
Created at: March 9, 2026, 3:38 p.m.