Triple

T6786810
Position Surface form Disambiguated ID Type / Status
Subject Huon Gulf languages E155827 entity
Predicate hasLanguage P15 FINISHED
Object Kâte language
The Kâte language is an Austronesian language spoken in Papua New Guinea, particularly in the Morobe Province region.
 E619334 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: Kâte language | Statement: [Huon Gulf languages, hasLanguage, Kâte language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kâte language
Context triple: [Huon Gulf languages, hasLanguage, Kâte language]
  • A. Kati language
    The Kati language is a Nuristani language spoken primarily in parts of northeastern Afghanistan and adjacent regions of Pakistan.
  • B. Katu language
    Katu language is an Austroasiatic language spoken by the Katu people primarily in Laos and central Vietnam.
  • C. Kistane language
    Kistane language is an Ethiopian Semitic language spoken by the Kistane (Soddo) people in central Ethiopia.
  • D. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • E. Embera Katío language
    Embera Katío language is an indigenous Chocoan language of Colombia spoken by the Embera Katío people, known for its rich oral tradition and endangered status.
  • 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: Kâte language
Triple: [Huon Gulf languages, hasLanguage, Kâte language]
Generated description
The Kâte language is an Austronesian language spoken in Papua New Guinea, particularly in the Morobe Province region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kâte language
Target entity description: The Kâte language is an Austronesian language spoken in Papua New Guinea, particularly in the Morobe Province region.
  • A. Kati language
    The Kati language is a Nuristani language spoken primarily in parts of northeastern Afghanistan and adjacent regions of Pakistan.
  • B. Katu language
    Katu language is an Austroasiatic language spoken by the Katu people primarily in Laos and central Vietnam.
  • C. Kistane language
    Kistane language is an Ethiopian Semitic language spoken by the Kistane (Soddo) people in central Ethiopia.
  • D. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • E. Embera Katío language
    Embera Katío language is an indigenous Chocoan language of Colombia spoken by the Embera Katío people, known for its rich oral tradition and endangered status.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28f043081909a9a9ab635785933 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a871a84819098891f66c6e5b579 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b6b87d8819085e6ae122f042626 completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c00f86c819099ef6ae0766e9f3a completed March 28, 2026, 12:08 a.m.
Created at: March 27, 2026, 2:14 p.m.