Triple
T10490329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daju languages |
E247399
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sila language (Daju)
The Sila language (Daju) is a lesser-known Nilo-Saharan language spoken by the Daju people in parts of Sudan and Chad.
|
E247399
|
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: Sila language (Daju) | Statement: [Daju languages, hasPart, Sila language (Daju)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sila language (Daju) Context triple: [Daju languages, hasPart, Sila language (Daju)]
-
A.
Daju languages
The Daju languages are a small group of closely related Eastern Sudanic languages spoken primarily in parts of Sudan and Chad.
-
B.
Shilha language
The Shilha language is a major Berber (Amazigh) language of southwestern Morocco, spoken primarily by the Shilha people in the High Atlas, Anti-Atlas, and Sous regions.
-
C.
Sialum language
The Sialum language is a Papuan language spoken by the Sialum people of Morobe Province in Papua New Guinea.
-
D.
Ngaju language
The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
-
E.
Saliba language
The Saliba language is an Oceanic language spoken in Papua New Guinea, particularly in the Milne Bay Province, and is known for its role in local maritime and village communication.
- 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: Sila language (Daju) Triple: [Daju languages, hasPart, Sila language (Daju)]
Generated description
The Sila language (Daju) is a lesser-known Nilo-Saharan language spoken by the Daju people in parts of Sudan and Chad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sila language (Daju) Target entity description: The Sila language (Daju) is a lesser-known Nilo-Saharan language spoken by the Daju people in parts of Sudan and Chad.
-
A.
Daju languages
chosen
The Daju languages are a small group of closely related Eastern Sudanic languages spoken primarily in parts of Sudan and Chad.
-
B.
Shilha language
The Shilha language is a major Berber (Amazigh) language of southwestern Morocco, spoken primarily by the Shilha people in the High Atlas, Anti-Atlas, and Sous regions.
-
C.
Sialum language
The Sialum language is a Papuan language spoken by the Sialum people of Morobe Province in Papua New Guinea.
-
D.
Ngaju language
The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
-
E.
Saliba language
The Saliba language is an Oceanic language spoken in Papua New Guinea, particularly in the Milne Bay Province, and is known for its role in local maritime and village communication.
- F. None of above.
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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc9792308190b09d6aaed63dd418 |
completed | April 10, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d8e8c81bdc8190b6b6dfe00025b514 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:23 p.m.