Triple

T22888298
Position Surface form Disambiguated ID Type / Status
Subject Ersuic languages E567665 entity
Predicate hasMember P10 FINISHED
Object Lizu language
The Lizu language is a lesser-known Sino-Tibetan language spoken by the Lizu (Lisu) people in parts of southwestern China, notable for its complex phonology and endangered status.
 E1560741 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: Lizu language | Statement: [Ersuic languages, hasMember, Lizu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lizu language
Context triple: [Ersuic languages, hasMember, Lizu language]
  • A. Zigua language
    The Zigua language is a Bantu language spoken primarily in northeastern Tanzania by the Zigua people.
  • B. Zezuru language
    The Zezuru language is a major dialect of Shona spoken primarily in central and northern Zimbabwe.
  • C. Lifu language
    Lifu language is an Austronesian language spoken on Lifou Island in New Caledonia, more widely known as Drehu.
  • D. Kulisusu language
    The Kulisusu language is an Austronesian language spoken by the Kulisusu people of southeastern Sulawesi, Indonesia.
  • E. Loniu language
    The Loniu language is an Oceanic language spoken on Loniu Island in Manus Province, Papua New Guinea.
  • 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: Lizu language
Triple: [Ersuic languages, hasMember, Lizu language]
Generated description
The Lizu language is a lesser-known Sino-Tibetan language spoken by the Lizu (Lisu) people in parts of southwestern China, notable for its complex phonology and endangered status.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lizu language
Target entity description: The Lizu language is a lesser-known Sino-Tibetan language spoken by the Lizu (Lisu) people in parts of southwestern China, notable for its complex phonology and endangered status.
  • A. Zigua language
    The Zigua language is a Bantu language spoken primarily in northeastern Tanzania by the Zigua people.
  • B. Zezuru language
    The Zezuru language is a major dialect of Shona spoken primarily in central and northern Zimbabwe.
  • C. Lifu language
    Lifu language is an Austronesian language spoken on Lifou Island in New Caledonia, more widely known as Drehu.
  • D. Kulisusu language
    The Kulisusu language is an Austronesian language spoken by the Kulisusu people of southeastern Sulawesi, Indonesia.
  • E. Loniu language
    The Loniu language is an Oceanic language spoken on Loniu Island in Manus Province, Papua New Guinea.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc2adb4819081bce7e6849ba31a completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9be4c688190820b484bea11696b completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb38da508190bc1d9bc8538cdbe2 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc2a2244819090ead891e1a866ed completed May 19, 2026, 1:26 a.m.
Created at: April 17, 2026, 3:40 p.m.