Triple

T6414127
Position Surface form Disambiguated ID Type / Status
Subject Augustana Campus E127780 entity
Predicate city P40 FINISHED
Object Camrose E593086 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: Camrose | Statement: [Augustana Campus, city, Camrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camrose
Context triple: [Augustana Campus, city, Camrose]
  • A. Nanton
    Nanton is a small town in southern Alberta, Canada, known for its historic grain elevators, aviation museum, and location along a major north–south transportation corridor.
  • B. Camrose, Alberta, Canada chosen
    Camrose is a small city in central Alberta, Canada, known for its parks, festivals, and role as a regional service and education hub.
  • C. Chestermere
    Chestermere is a small city in Alberta, Canada, situated just east of Calgary and known for its residential communities built around Chestermere Lake.
  • D. Medicine Hat
    Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
  • E. Grande Prairie
    Grande Prairie is a mid-sized city in northwestern Alberta, Canada, known as a regional hub for agriculture, energy, and forestry.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068e5187c8190a6be1b934e0f1b3a completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bb5196c8190ab970afbe4f2a672 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:42 p.m.