Triple
T2233528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maban languages |
E49225
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Masalit language
Masalit language is an Eastern Sudanic language spoken primarily by the Masalit people in western Sudan and eastern Chad.
|
E247373
|
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: Masalit language | Statement: [Maban languages, hasMember, Masalit language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masalit language Context triple: [Maban languages, hasMember, Masalit language]
-
A.
Lasalimu language
The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
-
B.
Zabana language
The Zabana language is an Oceanic language spoken primarily on Santa Isabel Island in the Solomon Islands.
-
C.
Saluan language
The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
-
D.
Malaita languages
Malaita languages are a subgroup of Oceanic languages spoken primarily on Malaita Island in the Solomon Islands, known for their diversity and significance within the Southeast Solomonic branch.
-
E.
Amuesha language
The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
- 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: Masalit language Triple: [Maban languages, hasMember, Masalit language]
Generated description
Masalit language is an Eastern Sudanic language spoken primarily by the Masalit people in western Sudan and eastern Chad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masalit language Target entity description: Masalit language is an Eastern Sudanic language spoken primarily by the Masalit people in western Sudan and eastern Chad.
-
A.
Lasalimu language
The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
-
B.
Zabana language
The Zabana language is an Oceanic language spoken primarily on Santa Isabel Island in the Solomon Islands.
-
C.
Saluan language
The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
-
D.
Malaita languages
Malaita languages are a subgroup of Oceanic languages spoken primarily on Malaita Island in the Solomon Islands, known for their diversity and significance within the Southeast Solomonic branch.
-
E.
Amuesha language
The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0913f1c8190ac9cfeb0f1c84a76 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b020e308190a6d5a50a8e808aba |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6b73bb688190bcade17d991c4862 |
completed | March 9, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6be4431c81909c9b4ad82226215d |
completed | March 9, 2026, 6:42 a.m. |
Created at: March 4, 2026, 7:47 p.m.