Triple
T10490365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyima languages |
E247400
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Afitti language
The Afitti language is an Eastern Sudanic language spoken by the Afitti people in the Nuba Mountains of Sudan.
|
E867518
|
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: Afitti language | Statement: [Nyima languages, hasPart, Afitti language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afitti language Context triple: [Nyima languages, hasPart, Afitti language]
-
A.
Aftari language
The Aftari language is a lesser-known Northwestern Iranian language spoken in Iran and classified within the Semnani branch.
-
B.
Attié language
The Attié language is a Niger-Congo language spoken primarily by the Attié people of southern Côte d'Ivoire.
-
C.
Umphai language
The Umphai language is a lesser-known Tai language spoken by an ethnic minority community in Southeast Asia, classified within the Waic branch of the Tai language family.
-
D.
Tafi language
The Tafi language is a Niger-Congo language spoken by the Tafi people of Ghana’s Volta Region.
-
E.
Refaluwasch language
The Refaluwasch language is an Austronesian language spoken by the Carolinian people of the Northern Mariana Islands, particularly on Saipan and nearby islands.
- 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: Afitti language Triple: [Nyima languages, hasPart, Afitti language]
Generated description
The Afitti language is an Eastern Sudanic language spoken by the Afitti people in the Nuba Mountains of Sudan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Afitti language Target entity description: The Afitti language is an Eastern Sudanic language spoken by the Afitti people in the Nuba Mountains of Sudan.
-
A.
Aftari language
The Aftari language is a lesser-known Northwestern Iranian language spoken in Iran and classified within the Semnani branch.
-
B.
Attié language
The Attié language is a Niger-Congo language spoken primarily by the Attié people of southern Côte d'Ivoire.
-
C.
Umphai language
The Umphai language is a lesser-known Tai language spoken by an ethnic minority community in Southeast Asia, classified within the Waic branch of the Tai language family.
-
D.
Tafi language
The Tafi language is a Niger-Congo language spoken by the Tafi people of Ghana’s Volta Region.
-
E.
Refaluwasch language
The Refaluwasch language is an Austronesian language spoken by the Carolinian people of the Northern Mariana Islands, particularly on Saipan and nearby islands.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc9792308190b09d6aaed63dd418 |
completed | April 10, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d8e8c81bdc8190b6b6dfe00025b514 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:23 p.m.