Triple

T5054506
Position Surface form Disambiguated ID Type / Status
Subject Self Portrait E113866 entity
Predicate hasPart P35 FINISHED
Object Alberta #1 E16102 NE FINISHED

How this triple was built (2 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 #1 | Statement: [Self Portrait, hasPart, Alberta #1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alberta #1
Context triple: [Self Portrait, hasPart, Alberta #1]
  • A. Alberta chosen
    Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
  • B. Athabasca, Alberta
    Athabasca, Alberta is a small town in northern Alberta, Canada, known historically as a transportation and trading hub and for its location along the Athabasca River.
  • C. northern Alberta
    Northern Alberta is a sparsely populated, resource-rich region of the Canadian province of Alberta, characterized by boreal forests, oil sands, and subarctic landscapes.
  • D. Kinuso, Alberta
    Kinuso, Alberta is a small hamlet in northern Alberta, Canada, situated near Lesser Slave Lake and serving as a local service and agricultural community.
  • E. southern Alberta
    Southern Alberta is a region of Alberta, Canada, characterized by its prairie landscapes, ranching and agricultural economy, and proximity to the Rocky Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744ccb888190a8a0ddd7c4d62f35 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea489eb4c8190ad3a5480b909ef70 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.