Triple

T12522315
Position Surface form Disambiguated ID Type / Status
Subject Wheatbelt region E299347 entity
Predicate hasTown P847 FINISHED
Object Yilgarn
Yilgarn is a rural town and shire in Western Australia known for its grain farming and mining activities within the Wheatbelt region.
 E986592 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: Yilgarn | Statement: [Wheatbelt region, hasTown, Yilgarn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yilgarn
Context triple: [Wheatbelt region, hasTown, Yilgarn]
  • A. Yungay
    Yungay is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and Andean foothill landscapes.
  • B. Yungay
    Yungay is a town in north-central Peru known for being devastated by a catastrophic earthquake and landslide in 1970, after which a new settlement was built nearby.
  • C. Meneghin
    Meneghin is an Italian surname most prominently associated with legendary basketball player Dino Meneghin.
  • D. Cardrona
    Cardrona is a small village in the Scottish Borders, known for its rural setting near the River Tweed and proximity to outdoor recreation areas.
  • E. Kayeli
    Kayeli is an extinct Austronesian language that was once spoken on Buru Island in Indonesia.
  • 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: Yilgarn
Triple: [Wheatbelt region, hasTown, Yilgarn]
Generated description
Yilgarn is a rural town and shire in Western Australia known for its grain farming and mining activities within the Wheatbelt region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yilgarn
Target entity description: Yilgarn is a rural town and shire in Western Australia known for its grain farming and mining activities within the Wheatbelt region.
  • A. Yungay
    Yungay is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and Andean foothill landscapes.
  • B. Yungay
    Yungay is a town in north-central Peru known for being devastated by a catastrophic earthquake and landslide in 1970, after which a new settlement was built nearby.
  • C. Meneghin
    Meneghin is an Italian surname most prominently associated with legendary basketball player Dino Meneghin.
  • D. Cardrona
    Cardrona is a small village in the Scottish Borders, known for its rural setting near the River Tweed and proximity to outdoor recreation areas.
  • E. Kayeli
    Kayeli is an extinct Austronesian language that was once spoken on Buru Island in Indonesia.
  • 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.