Triple

T12522291
Position Surface form Disambiguated ID Type / Status
Subject Wheatbelt region E299347 entity
Predicate hasTown P847 FINISHED
Object Pingelly
Pingelly is a small rural town in Western Australia's agricultural heartland, known for its grain farming and close-knit community.
E986576 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: Pingelly | Statement: [Wheatbelt region, hasTown, Pingelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pingelly
Context triple: [Wheatbelt region, hasTown, Pingelly]
  • A. Pego
    Pego is a civil parish located within the municipality of Abrantes in central Portugal.
  • B. Purgly
    Purgly is a Hungarian surname most notably associated with Magdolna Purgly, the wife of Regent Miklós Horthy.
  • C. Pinwherry
    Pinwherry is a small rural village in South Ayrshire, Scotland, known for its scenic countryside setting and historic bridge over the River Stinchar.
  • D. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • E. Pikiell
    Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
  • 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: Pingelly
Triple: [Wheatbelt region, hasTown, Pingelly]
Generated description
Pingelly is a small rural town in Western Australia's agricultural heartland, known for its grain farming and close-knit community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pingelly
Target entity description: Pingelly is a small rural town in Western Australia's agricultural heartland, known for its grain farming and close-knit community.
  • A. Pego
    Pego is a civil parish located within the municipality of Abrantes in central Portugal.
  • B. Purgly
    Purgly is a Hungarian surname most notably associated with Magdolna Purgly, the wife of Regent Miklós Horthy.
  • C. Pinwherry
    Pinwherry is a small rural village in South Ayrshire, Scotland, known for its scenic countryside setting and historic bridge over the River Stinchar.
  • D. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • E. Pikiell
    Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
  • 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_69d9545b2b2481909049a490c97678f2 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.