Triple
T19817773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeniseian languages |
E476104
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Arin language
The Arin language is an extinct Yeniseian language once spoken along the Yenisei River in central Siberia.
|
E1397112
|
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: Arin language | Statement: [Yeniseian languages, hasLanguage, Arin language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arin language Context triple: [Yeniseian languages, hasLanguage, Arin language]
-
A.
Ahirani language
Ahirani language is an Indo-Aryan language spoken primarily in the Khandesh region of Maharashtra, India, known for its close relation to Marathi and distinct regional dialectal features.
-
B.
Aringa language
The Aringa language is a Central Sudanic language spoken primarily by the Aringa people in northwestern Uganda.
-
C.
Aringa language
The Aringa language is a Western Nilotic language spoken primarily by the Aringa people in northwestern Uganda.
-
D.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
E.
Argobba language
The Argobba language is an endangered Ethiosemitic language spoken by the Argobba people of Ethiopia, closely related to Harari and other languages of the Harar region.
- 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: Arin language Triple: [Yeniseian languages, hasLanguage, Arin language]
Generated description
The Arin language is an extinct Yeniseian language once spoken along the Yenisei River in central Siberia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arin language Target entity description: The Arin language is an extinct Yeniseian language once spoken along the Yenisei River in central Siberia.
-
A.
Ahirani language
Ahirani language is an Indo-Aryan language spoken primarily in the Khandesh region of Maharashtra, India, known for its close relation to Marathi and distinct regional dialectal features.
-
B.
Aringa language
The Aringa language is a Central Sudanic language spoken primarily by the Aringa people in northwestern Uganda.
-
C.
Aringa language
The Aringa language is a Western Nilotic language spoken primarily by the Aringa people in northwestern Uganda.
-
D.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
E.
Argobba language
The Argobba language is an endangered Ethiosemitic language spoken by the Argobba people of Ethiopia, closely related to Harari and other languages of the Harar region.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fac7b481909a19ae0d608e01d9 |
completed | April 20, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccce7d0881909a08ef7e52078998 |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07cf8ca2988190b2dfa8c2f4d3dcd9 |
completed | May 16, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d02ee2308190b263ed90342e9072 |
completed | May 16, 2026, 2:02 a.m. |
Created at: April 10, 2026, 1:50 p.m.