Triple
T8834616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakairi language |
E210234
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kurâ
Kurâ is an alternative name for the Bakairi language, an indigenous Cariban language spoken by the Bakairi people of Brazil.
|
E760090
|
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: Kurâ | Statement: [Bakairi language, hasAlternativeName, Kurâ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurâ Context triple: [Bakairi language, hasAlternativeName, Kurâ]
-
A.
Jibal
Jibal was a historical region in western Iran, centered around the Zagros Mountains and key cities like Rayy and Hamadan, that served as an important political and cultural center in the medieval Islamic world.
-
B.
Ḥimṣ
Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
-
C.
Kondura
Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
-
D.
Baram Kayan
Baram Kayan is a Kayanic Austronesian language variety spoken by the Kayan people of Borneo.
-
E.
Kivili
Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
- 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: Kurâ Triple: [Bakairi language, hasAlternativeName, Kurâ]
Generated description
Kurâ is an alternative name for the Bakairi language, an indigenous Cariban language spoken by the Bakairi people of Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kurâ Target entity description: Kurâ is an alternative name for the Bakairi language, an indigenous Cariban language spoken by the Bakairi people of Brazil.
-
A.
Jibal
Jibal was a historical region in western Iran, centered around the Zagros Mountains and key cities like Rayy and Hamadan, that served as an important political and cultural center in the medieval Islamic world.
-
B.
Ḥimṣ
Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
-
C.
Kondura
Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
-
D.
Baram Kayan
Baram Kayan is a Kayanic Austronesian language variety spoken by the Kayan people of Borneo.
-
E.
Kivili
Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60686cac8190b3138db40b6fe058 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf898022c88190b7274350ce065f00 |
completed | April 3, 2026, 9:33 a.m. |
| NEDg | Description generation | batch_69cf8a8e5db0819080e6fdc3d8322e94 |
completed | April 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8b8849ec8190915fa087b1b46c18 |
completed | April 3, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:47 p.m.