Triple

T21749558
Position Surface form Disambiguated ID Type / Status
Subject Lama Lama people E536876 entity
Predicate languageGroup P3349 FINISHED
Object Umpila
Umpila is an Indigenous Australian language traditionally spoken by the Lama Lama people of Cape York Peninsula in Queensland.
 E1499807 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: Umpila | Statement: [Lama Lama people, languageGroup, Umpila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Umpila
Context triple: [Lama Lama people, languageGroup, Umpila]
  • A. Ulamona
    Ulamona is a small settlement in Papua New Guinea located near the highly active Mount Ulawun volcano.
  • B. Tumbili
    Tumbili is a 4D free-spin roller coaster at Kings Dominion known for its rotating seats and unpredictable flipping ride experience.
  • C. Upata
    Upata is a town in southeastern Venezuela known as an agricultural and commercial center within Bolívar State.
  • D. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • E. Wulkuraka
    Wulkuraka is a suburban locality in the city of Ipswich, Queensland, Australia, known primarily as a residential area with rail infrastructure and access to nearby urban amenities.
  • 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: Umpila
Triple: [Lama Lama people, languageGroup, Umpila]
Generated description
Umpila is an Indigenous Australian language traditionally spoken by the Lama Lama people of Cape York Peninsula in Queensland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Umpila
Target entity description: Umpila is an Indigenous Australian language traditionally spoken by the Lama Lama people of Cape York Peninsula in Queensland.
  • A. Ulamona
    Ulamona is a small settlement in Papua New Guinea located near the highly active Mount Ulawun volcano.
  • B. Tumbili
    Tumbili is a 4D free-spin roller coaster at Kings Dominion known for its rotating seats and unpredictable flipping ride experience.
  • C. Upata
    Upata is a town in southeastern Venezuela known as an agricultural and commercial center within Bolívar State.
  • D. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • E. Wulkuraka
    Wulkuraka is a suburban locality in the city of Ipswich, Queensland, Australia, known primarily as a residential area with rail infrastructure and access to nearby urban amenities.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a78bd908190b74e26ab1cc8788f completed April 28, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2ee08d148190bda4aeeddc28c051 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a30369e04819091a175b93ed685a0 completed May 17, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0a30ded0f081909589e57a4cc030fd completed May 17, 2026, 9:19 p.m.
Created at: April 16, 2026, 6:50 p.m.