Triple
T11012451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kra languages |
E260274
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Paha language
Paha language is a lesser-known Kra language spoken by an ethnic minority community in parts of southern China.
|
E899581
|
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: Paha language | Statement: [Kra languages, hasSubgroup, Paha language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paha language Context triple: [Kra languages, hasSubgroup, Paha language]
-
A.
Patamona language
The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
-
B.
Paunaka language
The Paunaka language is an endangered Arawakan language traditionally spoken by the Paunaka people of eastern Bolivia.
-
C.
Piipaash language
The Piipaash language is a Native American language of the Yuman family traditionally spoken by the Piipaash (Maricopa) people of the lower Colorado River region in the southwestern United States.
-
D.
Bura-Pabir language
The Bura-Pabir language is a Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
-
E.
Ahanta language
The Ahanta language is a Niger-Congo language spoken by the Ahanta people along the coastal region of southwestern Ghana.
- 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: Paha language Triple: [Kra languages, hasSubgroup, Paha language]
Generated description
Paha language is a lesser-known Kra language spoken by an ethnic minority community in parts of southern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paha language Target entity description: Paha language is a lesser-known Kra language spoken by an ethnic minority community in parts of southern China.
-
A.
Patamona language
The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
-
B.
Paunaka language
The Paunaka language is an endangered Arawakan language traditionally spoken by the Paunaka people of eastern Bolivia.
-
C.
Piipaash language
The Piipaash language is a Native American language of the Yuman family traditionally spoken by the Piipaash (Maricopa) people of the lower Colorado River region in the southwestern United States.
-
D.
Bura-Pabir language
The Bura-Pabir language is a Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
-
E.
Ahanta language
The Ahanta language is a Niger-Congo language spoken by the Ahanta people along the coastal region of southwestern Ghana.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978a57a881909b4ceae0ebe21b78 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374ac78348190a8c0a5a7a736b24b |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.