Triple
T8938940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayana language |
E212847
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Wajana
Wajana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Suriname, French Guiana, and Brazil.
|
E767341
|
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: Wajana | Statement: [Wayana language, hasAlternativeName, Wajana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wajana Context triple: [Wayana language, hasAlternativeName, Wajana]
-
A.
Nguru
Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
-
B.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
C.
Ayawa
Ayawa is an alternative name for the Yao people, an ethnic group found primarily in parts of East and Southern Africa.
-
D.
Njoto
Njoto was an Indonesian communist politician, intellectual, and prominent leader of the Indonesian Communist Party (PKI) during the 1950s and early 1960s.
-
E.
Majene
Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
- 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: Wajana Triple: [Wayana language, hasAlternativeName, Wajana]
Generated description
Wajana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Suriname, French Guiana, and Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wajana Target entity description: Wajana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Suriname, French Guiana, and Brazil.
-
A.
Nguru
Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
-
B.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
C.
Ayawa
Ayawa is an alternative name for the Yao people, an ethnic group found primarily in parts of East and Southern Africa.
-
D.
Njoto
Njoto was an Indonesian communist politician, intellectual, and prominent leader of the Indonesian Communist Party (PKI) during the 1950s and early 1960s.
-
E.
Majene
Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b7484481909e0d7610552f5386 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1eb308c81909f5be133c75ad568 |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc24b4fe481909b7c4f58b787a21e |
completed | April 3, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc33fbedc8190a8f04ec6f43891f0 |
completed | April 3, 2026, 1:40 p.m. |
Created at: March 30, 2026, 6:58 p.m.