Triple
T10586623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadu languages |
E249870
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Dilling language
The Dilling language is a Kadu (Kadugli) language spoken by the Dilling people in the Nuba Mountains region of Sudan.
|
E872581
|
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: Dilling language | Statement: [Kadu languages, hasMemberLanguage, Dilling language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dilling language Context triple: [Kadu languages, hasMemberLanguage, Dilling language]
-
A.
Lingo
Lingo is a scripting language primarily known for powering interactive multimedia applications and games in Adobe (formerly Macromedia) Director.
-
B.
Limba
The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
-
C.
Negidal language
The Negidal language is a critically endangered Tungusic language traditionally spoken by the Negidal people in the Russian Far East along the lower Amur River.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Dili
Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural 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: Dilling language Triple: [Kadu languages, hasMemberLanguage, Dilling language]
Generated description
The Dilling language is a Kadu (Kadugli) language spoken by the Dilling people in the Nuba Mountains region of Sudan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dilling language Target entity description: The Dilling language is a Kadu (Kadugli) language spoken by the Dilling people in the Nuba Mountains region of Sudan.
-
A.
Lingo
Lingo is a scripting language primarily known for powering interactive multimedia applications and games in Adobe (formerly Macromedia) Director.
-
B.
Limba
The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
-
C.
Negidal language
The Negidal language is a critically endangered Tungusic language traditionally spoken by the Negidal people in the Russian Far East along the lower Amur River.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Dili
Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5276b0ae48190b2935230363239e0 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b8b1b708190865e428128f98720 |
completed | April 10, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_69d94d68f39c8190bc7ea90237a5bf5f |
completed | April 10, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9522d68b88190a63acb6d657168b4 |
completed | April 10, 2026, 7:40 p.m. |
Created at: April 6, 2026, 12:39 p.m.