Triple
T3974490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Uto-Aztecan |
E85606
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Kitanemuk
Kitanemuk is an extinct Uto-Aztecan language once spoken by the Kitanemuk people in what is now Southern California.
|
E406717
|
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: Kitanemuk | Statement: [Southern Uto-Aztecan, hasLanguage, Kitanemuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitanemuk Context triple: [Southern Uto-Aztecan, hasLanguage, Kitanemuk]
-
A.
Kitashinchi
Kitashinchi is a bustling entertainment and nightlife district in Osaka, Japan, known for its upscale bars, restaurants, and clubs.
-
B.
Machimura
Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
-
C.
Kokane
Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
-
D.
Mikuma
Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
-
E.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
- 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: Kitanemuk Triple: [Southern Uto-Aztecan, hasLanguage, Kitanemuk]
Generated description
Kitanemuk is an extinct Uto-Aztecan language once spoken by the Kitanemuk people in what is now Southern California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kitanemuk Target entity description: Kitanemuk is an extinct Uto-Aztecan language once spoken by the Kitanemuk people in what is now Southern California.
-
A.
Kitashinchi
Kitashinchi is a bustling entertainment and nightlife district in Osaka, Japan, known for its upscale bars, restaurants, and clubs.
-
B.
Machimura
Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
-
C.
Kokane
Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
-
D.
Mikuma
Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
-
E.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9b511f88190afca12c77481b344 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c472d048190843b29a6a9a4be86 |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b54cd044f48190870ecc7c33cd3908 |
completed | March 14, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54d5fa6c4819089d190c4cfdb8cd0 |
completed | March 14, 2026, 11:58 a.m. |
Created at: March 9, 2026, 3:32 p.m.