Triple
T17202171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancowry language |
E417501
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Nankwari
Nankwari is an Austroasiatic language spoken in the Nicobar Islands of India, more commonly known as the Nancowry language.
|
E1256151
|
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: Nankwari | Statement: [Nancowry language, hasAlternativeName, Nankwari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nankwari Context triple: [Nancowry language, hasAlternativeName, Nankwari]
-
A.
Njuká
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
B.
Nilekani
Nilekani is the surname of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and architect of the Aadhaar digital identity program.
-
C.
Kaneshie
Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
-
D.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
E.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
- 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: Nankwari Triple: [Nancowry language, hasAlternativeName, Nankwari]
Generated description
Nankwari is an Austroasiatic language spoken in the Nicobar Islands of India, more commonly known as the Nancowry language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nankwari Target entity description: Nankwari is an Austroasiatic language spoken in the Nicobar Islands of India, more commonly known as the Nancowry language.
-
A.
Njuká
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
B.
Nilekani
Nilekani is the surname of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and architect of the Aadhaar digital identity program.
-
C.
Kaneshie
Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
-
D.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
E.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fdc13d88190bbf9e6d1272814d2 |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a01614239bc819082691853905595ba |
completed | May 11, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0161b8569c819088f0fdd673bb2d03 |
completed | May 11, 2026, 4:57 a.m. |
Created at: April 10, 2026, 5:38 a.m.