Triple
T7823210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Halmahera–West New Guinea languages |
E181181
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Dusner language
The Dusner language is a highly endangered Papuan language spoken by a small community in the West Papua region of Indonesia.
|
E695182
|
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: Dusner language | Statement: [South Halmahera–West New Guinea languages, hasMember, Dusner language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dusner language Context triple: [South Halmahera–West New Guinea languages, hasMember, Dusner language]
-
A.
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.
-
B.
Rumsen language
Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
-
C.
Nendö language
The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Chumburung language
The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in 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: Dusner language Triple: [South Halmahera–West New Guinea languages, hasMember, Dusner language]
Generated description
The Dusner language is a highly endangered Papuan language spoken by a small community in the West Papua region of Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dusner language Target entity description: The Dusner language is a highly endangered Papuan language spoken by a small community in the West Papua region of Indonesia.
-
A.
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.
-
B.
Rumsen language
Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
-
C.
Nendö language
The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Chumburung language
The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa095d7081908b3e492ce58b5d5f |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14a526cc8190a8b1a3179f75ad6c |
completed | March 31, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69cb1734159881909590ed51e8920387 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a6fc16c8190827593f58b9d742d |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:42 p.m.