Triple

T6599176
Position Surface form Disambiguated ID Type / Status
Subject Lau (Malaita) E148551 entity
Predicate hasDialects P4251 FINISHED
Object Southern Lau
Southern Lau is a dialectal variety of the Lau language spoken on Malaita in the Solomon Islands.
E607228 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: Southern Lau | Statement: [Lau (Malaita), hasDialects, Southern Lau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Lau
Context triple: [Lau (Malaita), hasDialects, Southern Lau]
  • A. Southern Tat
    Southern Tat is a regional variety of the Tat language spoken by Tat communities in parts of the South Caucasus.
  • B. Southern Min
    Southern Min is a major branch of the Sinitic language family spoken primarily in southeastern China and among overseas Chinese communities, encompassing varieties such as Hokkien, Taiwanese, and Teochew.
  • C. South South
    South South is a geopolitical zone in southern Nigeria comprising several oil-rich coastal states in the Niger Delta region.
  • D. Southern Sama
    Southern Sama is an Austronesian language spoken by the Sama-Bajau people in the southern Philippines, particularly in the Sulu Archipelago and nearby coastal areas.
  • E. Southern Uma
    Southern Uma is a regional dialect of the Uma language spoken by a subset of Uma-speaking communities, distinguished by its own phonological and lexical features.
  • 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: Southern Lau
Triple: [Lau (Malaita), hasDialects, Southern Lau]
Generated description
Southern Lau is a dialectal variety of the Lau language spoken on Malaita in the Solomon Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Southern Lau
Target entity description: Southern Lau is a dialectal variety of the Lau language spoken on Malaita in the Solomon Islands.
  • A. Southern Tat
    Southern Tat is a regional variety of the Tat language spoken by Tat communities in parts of the South Caucasus.
  • B. Southern Min
    Southern Min is a major branch of the Sinitic language family spoken primarily in southeastern China and among overseas Chinese communities, encompassing varieties such as Hokkien, Taiwanese, and Teochew.
  • C. South South
    South South is a geopolitical zone in southern Nigeria comprising several oil-rich coastal states in the Niger Delta region.
  • D. Southern Sama
    Southern Sama is an Austronesian language spoken by the Sama-Bajau people in the southern Philippines, particularly in the Sulu Archipelago and nearby coastal areas.
  • E. Southern Uma
    Southern Uma is a regional dialect of the Uma language spoken by a subset of Uma-speaking communities, distinguished by its own phonological and lexical features.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeeffdf0819090af7bba918bef84 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43224dc81909dea493a5ee2726e completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4e9c344819099ad11c21c2e4a6e completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e581a4f88190b1f64033a49d1bae completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:56 p.m.