Triple

T9319177
Position Surface form Disambiguated ID Type / Status
Subject Semai language E224201 entity
Predicate hasDialects P4251 FINISHED
Object Southern Semai
Southern Semai is a dialect of the Semai language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
 E791847 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 Semai | Statement: [Semai language, hasDialects, Southern Semai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Southern Semai
Context triple: [Semai language, hasDialects, Southern Semai]
  • A. Southern Subanen
    Southern Subanen is a major dialect of the Subanen language spoken by Subanen communities in the southern Zamboanga Peninsula region of the southern Philippines.
  • B. 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.
  • C. Southern Lau
    Southern Lau is a dialectal variety of the Lau language spoken on Malaita in the Solomon Islands.
  • D. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • E. Sasmuan
    Sasmuan is a coastal municipality in the province of Pampanga in the Philippines, known for its fishing industry, wetlands, and bird-watching sites.
  • 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 Semai
Triple: [Semai language, hasDialects, Southern Semai]
Generated description
Southern Semai is a dialect of the Semai language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Southern Semai
Target entity description: Southern Semai is a dialect of the Semai language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • A. Southern Subanen
    Southern Subanen is a major dialect of the Subanen language spoken by Subanen communities in the southern Zamboanga Peninsula region of the southern Philippines.
  • B. 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.
  • C. Southern Lau
    Southern Lau is a dialectal variety of the Lau language spoken on Malaita in the Solomon Islands.
  • D. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • E. Sasmuan
    Sasmuan is a coastal municipality in the province of Pampanga in the Philippines, known for its fishing industry, wetlands, and bird-watching sites.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0ca049fdc819091e101d8cdcfb7e8 completed April 4, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d0cc6239108190b921eface5cdd543 completed April 4, 2026, 8:31 a.m.
Created at: March 30, 2026, 7:38 p.m.