Triple

T17651170
Position Surface form Disambiguated ID Type / Status
Subject Central Alberta E429492 entity
Predicate hasTown P847 FINISHED
Object Olds
Olds is a small agricultural and educational hub in central Alberta, Canada, known for Olds College and its surrounding farming community.
 E1280604 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: Olds | Statement: [Central Alberta, hasTown, Olds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olds
Context triple: [Central Alberta, hasTown, Olds]
  • A. Olds
    Olds is a surname most notably associated with American automobile industry pioneer Ransom E. Olds, founder of Oldsmobile and REO Motor Car Company.
  • B. Olds Motor Vehicle Company
    Olds Motor Vehicle Company was an early American automobile manufacturer that became one of the first mass producers of cars in the United States.
  • C. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • D. Thorndike
    Thorndike is a surname most notably associated with Edward L. Thorndike, an influential American psychologist known for his work on learning theory and the law of effect.
  • E. Tolman
    Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
  • 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: Olds
Triple: [Central Alberta, hasTown, Olds]
Generated description
Olds is a small agricultural and educational hub in central Alberta, Canada, known for Olds College and its surrounding farming community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olds
Target entity description: Olds is a small agricultural and educational hub in central Alberta, Canada, known for Olds College and its surrounding farming community.
  • A. Olds
    Olds is a surname most notably associated with American automobile industry pioneer Ransom E. Olds, founder of Oldsmobile and REO Motor Car Company.
  • B. Olds Motor Vehicle Company
    Olds Motor Vehicle Company was an early American automobile manufacturer that became one of the first mass producers of cars in the United States.
  • C. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • D. Thorndike
    Thorndike is a surname most notably associated with Edward L. Thorndike, an influential American psychologist known for his work on learning theory and the law of effect.
  • E. Tolman
    Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3d4948819084de72bed922be6e completed April 19, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02165471208190801fd5118e483535 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021825b8e88190ba18669deba94cac completed May 11, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0218d29b9481909c5e48774fc6f68c completed May 11, 2026, 5:58 p.m.
Created at: April 10, 2026, 6:05 a.m.