Triple

T5615528
Position Surface form Disambiguated ID Type / Status
Subject Kayanic languages E147467 entity
Predicate hasMember P10 FINISHED
Object Murik language
The Murik language is an Austronesian language spoken by the Murik people of northern Papua New Guinea, particularly around the Murik Lakes region near the mouth of the Sepik River.
 E534741 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: Murik language | Statement: [Kayanic languages, hasMember, Murik language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Murik language
Context triple: [Kayanic languages, hasMember, Murik language]
  • A. Miluk language
    The Miluk language is an extinct Native American language once spoken by the Coos people along the southern Oregon coast.
  • B. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • C. Rumsen language
    Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
  • D. Moru language
    The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
  • E. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • 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: Murik language
Triple: [Kayanic languages, hasMember, Murik language]
Generated description
The Murik language is an Austronesian language spoken by the Murik people of northern Papua New Guinea, particularly around the Murik Lakes region near the mouth of the Sepik River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Murik language
Target entity description: The Murik language is an Austronesian language spoken by the Murik people of northern Papua New Guinea, particularly around the Murik Lakes region near the mouth of the Sepik River.
  • A. Miluk language
    The Miluk language is an extinct Native American language once spoken by the Coos people along the southern Oregon coast.
  • B. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • C. Rumsen language
    Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
  • D. Moru language
    The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
  • E. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d8d600819097df4e265e262d90 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d51c12c8190911fb9a0c0d234d8 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04e89b7c481908abae227d22cc814 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f41b158819097f9ef536215e248 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:39 p.m.