Triple
T8651724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tebu languages |
E205114
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tedaga language
The Tedaga language is a Saharan language spoken primarily by the Teda (Tubu) people of northern Chad and southern Libya.
|
E749759
|
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: Tedaga language | Statement: [Tebu languages, hasPart, Tedaga language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tedaga language Context triple: [Tebu languages, hasPart, Tedaga language]
-
A.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
B.
Agutaynen language
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
-
C.
Nomatsiguenga language
The Nomatsiguenga language is an Arawakan language spoken by the Nomatsiguenga people of Peru’s Amazon rainforest, closely associated with the broader Asháninka linguistic and cultural group.
-
D.
Tawbuid language
The Tawbuid language is an Austronesian language spoken by the Tawbuid (Batangan) Mangyan people of Mindoro in the Philippines, closely related to other South Mangyan languages.
-
E.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
- 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: Tedaga language Triple: [Tebu languages, hasPart, Tedaga language]
Generated description
The Tedaga language is a Saharan language spoken primarily by the Teda (Tubu) people of northern Chad and southern Libya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tedaga language Target entity description: The Tedaga language is a Saharan language spoken primarily by the Teda (Tubu) people of northern Chad and southern Libya.
-
A.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
B.
Agutaynen language
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
-
C.
Nomatsiguenga language
The Nomatsiguenga language is an Arawakan language spoken by the Nomatsiguenga people of Peru’s Amazon rainforest, closely associated with the broader Asháninka linguistic and cultural group.
-
D.
Tawbuid language
The Tawbuid language is an Austronesian language spoken by the Tawbuid (Batangan) Mangyan people of Mindoro in the Philippines, closely related to other South Mangyan languages.
-
E.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484051b48190b1d0cc63426c204d |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccc95b588190b5e44c73cf93d18b |
completed | April 2, 2026, 8:08 p.m. |
| NEDg | Description generation | batch_69cece1681288190a6c99407bc2f0bdd |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecec118ac81909fbcafe841354c32 |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:29 p.m.