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.