Triple

T7680207
Position Surface form Disambiguated ID Type / Status
Subject Yuin–Kuric languages E173970 entity
Predicate arealGrouping P5147 FINISHED
Object Southeast Australia linguistic area
The Southeast Australia linguistic area is a region of southeastern Australia characterized by a set of shared structural and typological features among diverse Aboriginal languages that have arisen through long-term contact and convergence.
E680908 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: Southeast Australia linguistic area | Statement: [Yuin–Kuric languages, arealGrouping, Southeast Australia linguistic area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southeast Australia linguistic area
Context triple: [Yuin–Kuric languages, arealGrouping, Southeast Australia linguistic area]
  • A. Remote Oceania linguistic area
    The Remote Oceania linguistic area is a region of the Pacific characterized by closely related Oceanic languages spoken across widely dispersed island groups such as Polynesia, Micronesia, and parts of eastern Melanesia.
  • B. Melanesian linguistic area
    The Melanesian linguistic area is a region in the southwest Pacific characterized by a diverse mix of Oceanic and Papuan languages that share many structural features due to long-term contact and interaction.
  • C. Guadalcanal linguistic area
    The Guadalcanal linguistic area is a region on the island of Guadalcanal in the Solomon Islands characterized by a cluster of related and interacting Oceanic languages that share common structural and lexical features.
  • D. Sulawesi linguistic area
    The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
  • E. Tasmanian languages
    Tasmanian languages are a group of now-extinct Aboriginal languages once spoken on the island of Tasmania, notable for their diversity and poor documentation.
  • 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: Southeast Australia linguistic area
Triple: [Yuin–Kuric languages, arealGrouping, Southeast Australia linguistic area]
Generated description
The Southeast Australia linguistic area is a region of southeastern Australia characterized by a set of shared structural and typological features among diverse Aboriginal languages that have arisen through long-term contact and convergence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Southeast Australia linguistic area
Target entity description: The Southeast Australia linguistic area is a region of southeastern Australia characterized by a set of shared structural and typological features among diverse Aboriginal languages that have arisen through long-term contact and convergence.
  • A. Remote Oceania linguistic area
    The Remote Oceania linguistic area is a region of the Pacific characterized by closely related Oceanic languages spoken across widely dispersed island groups such as Polynesia, Micronesia, and parts of eastern Melanesia.
  • B. Melanesian linguistic area
    The Melanesian linguistic area is a region in the southwest Pacific characterized by a diverse mix of Oceanic and Papuan languages that share many structural features due to long-term contact and interaction.
  • C. Guadalcanal linguistic area
    The Guadalcanal linguistic area is a region on the island of Guadalcanal in the Solomon Islands characterized by a cluster of related and interacting Oceanic languages that share common structural and lexical features.
  • D. Sulawesi linguistic area
    The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
  • E. Tasmanian languages
    Tasmanian languages are a group of now-extinct Aboriginal languages once spoken on the island of Tasmania, notable for their diversity and poor documentation.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701ffc1fc8190bc9c2b1f3bb37f0d completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a24de3a48190a92009b6092b09d0 completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a30d3fac8190bec7e2748bc8f17e completed March 29, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3d2e660819099f90a9e43310381 completed March 29, 2026, 4 a.m.
Created at: March 27, 2026, 4:01 p.m.