Triple

T23033515
Position Surface form Disambiguated ID Type / Status
Subject Alberta Vaughn E573529 entity
Predicate givenName P17 FINISHED
Object Alberta
Alberta is a western Canadian province known for its vast prairies, Rocky Mountain landscapes, and significant oil and gas industry.
E16102 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: Alberta | Statement: [Alberta Vaughn, givenName, Alberta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alberta
Context triple: [Alberta Vaughn, givenName, Alberta]
  • A. Alberta
    Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
  • B. Alberta
    Alberta is a character in August Wilson’s play "Fences," known as the woman with whom Troy Maxson has an extramarital affair, symbolizing his desires and the fractures in his family life.
  • C. Alberta
    "Alberta" is a song featured on the album "Southbound."
  • D. Saskatchewan
    Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
  • E. Manitoba
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • 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: Alberta
Triple: [Alberta Vaughn, givenName, Alberta]
Generated description
Alberta is a western Canadian province known for its vast prairies, Rocky Mountain landscapes, and significant oil and gas industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alberta
Target entity description: Alberta is a western Canadian province known for its vast prairies, Rocky Mountain landscapes, and significant oil and gas industry.
  • A. Alberta chosen
    Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
  • B. Alberta
    Alberta is a character in August Wilson’s play "Fences," known as the woman with whom Troy Maxson has an extramarital affair, symbolizing his desires and the fractures in his family life.
  • C. Alberta
    "Alberta" is a song featured on the album "Southbound."
  • D. Saskatchewan
    Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
  • E. Manitoba
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • F. None of above.

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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18482e78c8190a89681eec2edb812 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ad076e88190b0b507263535baa9 completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0cc0802081909986480d05315422 completed May 19, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0db1ebf88190a3c2f74af6fe3541 completed May 19, 2026, 7:13 a.m.
Created at: April 17, 2026, 3:53 p.m.