Triple

T12522298
Position Surface form Disambiguated ID Type / Status
Subject Wheatbelt region E299347 entity
Predicate hasTown P847 FINISHED
Object Nungarin
Nungarin is a small rural town in Western Australia known for its grain farming and heritage-listed wartime and railway history.
 E986580 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: Nungarin | Statement: [Wheatbelt region, hasTown, Nungarin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nungarin
Context triple: [Wheatbelt region, hasTown, Nungarin]
  • A. Mungo
    Mungo is a dialect of the Duala language spoken by communities in Cameroon’s coastal region.
  • B. Mungo
    Mungo is a given name most notably associated with the Scottish aviator and flying ace John Mungo Grant.
  • C. Arawe
    Arawe is a coastal area on the southwest coast of New Britain in Papua New Guinea that served as an important Allied amphibious landing site during World War II.
  • D. Yirrkala
    Yirrkala is a remote Aboriginal community in Australia's Northern Territory, renowned as a center of Yolngu culture and art.
  • E. Kuku Yalanji
    Kuku Yalanji are an Aboriginal Australian people traditionally from the rainforest regions of Far North Queensland, particularly around the Daintree and Mossman areas.
  • 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: Nungarin
Triple: [Wheatbelt region, hasTown, Nungarin]
Generated description
Nungarin is a small rural town in Western Australia known for its grain farming and heritage-listed wartime and railway history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nungarin
Target entity description: Nungarin is a small rural town in Western Australia known for its grain farming and heritage-listed wartime and railway history.
  • A. Mungo
    Mungo is a dialect of the Duala language spoken by communities in Cameroon’s coastal region.
  • B. Mungo
    Mungo is a given name most notably associated with the Scottish aviator and flying ace John Mungo Grant.
  • C. Arawe
    Arawe is a coastal area on the southwest coast of New Britain in Papua New Guinea that served as an important Allied amphibious landing site during World War II.
  • D. Yirrkala
    Yirrkala is a remote Aboriginal community in Australia's Northern Territory, renowned as a center of Yolngu culture and art.
  • E. Kuku Yalanji
    Kuku Yalanji are an Aboriginal Australian people traditionally from the rainforest regions of Far North Queensland, particularly around the Daintree and Mossman areas.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545c2aa081908e8a5a94d30e23eb completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc159c88190835fea5c0d9ee799 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64def9a6081908c3048f948829051 completed May 2, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69f64ea1719c8190b91ffaab60db25ad completed May 2, 2026, 7:21 p.m.
Created at: April 8, 2026, 9:57 p.m.