Triple

T20119501
Position Surface form Disambiguated ID Type / Status
Subject New West Motel E490563 entity
Predicate hasPart P35 FINISHED
Object Medicine Hat NE NERFINISHED

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: Medicine Hat | Statement: [New West Motel, hasPart, Medicine Hat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medicine Hat
Context triple: [New West Motel, hasPart, Medicine Hat]
  • A. Medicine Hat chosen
    Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
  • B. Red Deer
    Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
  • C. Moose Jaw
    Moose Jaw is a mid-sized city in southern Saskatchewan, Canada, known for its historic downtown, underground tunnels, and role as a regional service and transportation hub.
  • D. Lethbridge
    Lethbridge is a mid-sized city in southern Alberta, Canada, known for its coulee landscapes, windy climate, and role as a regional commercial and educational hub.
  • E. Saskatoon
    Saskatoon is a major Canadian city on the South Saskatchewan River known for its vibrant cultural scene, universities, and role as an economic hub for the surrounding agricultural and resource-rich region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673cfaac81909d6216f3e37c2439 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.