Triple
T12448022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dusun |
E297452
|
entity |
| Predicate | usesLanguage |
P238
|
FINISHED |
| Object |
Dusun language
The Dusun language is an Austronesian language spoken primarily by the Dusun people of Sabah in Malaysian Borneo.
|
E984008
|
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: Dusun language | Statement: [Dusun, usesLanguage, Dusun language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dusun language Context triple: [Dusun, usesLanguage, Dusun language]
-
A.
Dusner language
The Dusner language is a highly endangered Papuan language spoken by a small community in the West Papua region of Indonesia.
-
B.
Dusun Witu language
Dusun Witu is an Austronesian language of the Barito group spoken by the Dusun Witu people in Kalimantan, Indonesia.
-
C.
Rumsen language
Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
-
D.
Konda-Dora language
Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
-
E.
Uduk language
The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
- 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: Dusun language Triple: [Dusun, usesLanguage, Dusun language]
Generated description
The Dusun language is an Austronesian language spoken primarily by the Dusun people of Sabah in Malaysian Borneo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dusun language Target entity description: The Dusun language is an Austronesian language spoken primarily by the Dusun people of Sabah in Malaysian Borneo.
-
A.
Dusner language
The Dusner language is a highly endangered Papuan language spoken by a small community in the West Papua region of Indonesia.
-
B.
Dusun Witu language
Dusun Witu is an Austronesian language of the Barito group spoken by the Dusun Witu people in Kalimantan, Indonesia.
-
C.
Rumsen language
Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
-
D.
Konda-Dora language
Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
-
E.
Uduk language
The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1501448190b0a95d7cd249ca9d |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f640ef7dd08190bf78d04cffac1a44 |
completed | May 2, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f641abe114819093d99a327f2220c2 |
completed | May 2, 2026, 6:25 p.m. |
Created at: April 8, 2026, 9:56 p.m.