Triple
T13219049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sena–Nyanja languages |
E314699
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Mang’anja
Mang’anja is a Bantu language variety spoken primarily in southern Malawi, closely related to other Sena–Nyanja languages.
|
E1028424
|
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: Mang’anja | Statement: [Sena–Nyanja languages, hasMemberLanguage, Mang’anja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mang’anja Context triple: [Sena–Nyanja languages, hasMemberLanguage, Mang’anja]
-
A.
Munji
Munji is a lesser-known Eastern Iranian language spoken by the Munji people in the remote Munjan Valley of northeastern Afghanistan.
-
B.
Mangshi
Mangshi is a county-level city in southwestern Yunnan, China, known as the political and economic center of the Dehong Dai and Jingpo Autonomous Prefecture.
-
C.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
-
D.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
E.
Maonan
The Maonan are a small ethnic minority group in southern China known for their distinct Kam–Sui language, traditional rice farming, and rich folk customs.
- 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: Mang’anja Triple: [Sena–Nyanja languages, hasMemberLanguage, Mang’anja]
Generated description
Mang’anja is a Bantu language variety spoken primarily in southern Malawi, closely related to other Sena–Nyanja languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mang’anja Target entity description: Mang’anja is a Bantu language variety spoken primarily in southern Malawi, closely related to other Sena–Nyanja languages.
-
A.
Munji
Munji is a lesser-known Eastern Iranian language spoken by the Munji people in the remote Munjan Valley of northeastern Afghanistan.
-
B.
Mangshi
Mangshi is a county-level city in southwestern Yunnan, China, known as the political and economic center of the Dehong Dai and Jingpo Autonomous Prefecture.
-
C.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
-
D.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
E.
Maonan
The Maonan are a small ethnic minority group in southern China known for their distinct Kam–Sui language, traditional rice farming, and rich folk customs.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2085f88190be8cfc309d21f9cb |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7036009808190aea595cd542e0cf1 |
completed | May 3, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7040e32a4819083a9f4efe96fd9ca |
completed | May 3, 2026, 8:15 a.m. |
Created at: April 9, 2026, 9:18 p.m.