Triple

T14983893
Position Surface form Disambiguated ID Type / Status
Subject Okanagan E373651 entity
Predicate hasTown P847 FINISHED
Object Summerland E367637 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: Summerland | Statement: [Okanagan, hasTown, Summerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Summerland
Context triple: [Okanagan, hasTown, Summerland]
  • A. Summerland
    Summerland is a small unincorporated coastal community in Santa Barbara County, California, known for its beaches, ocean views, and relaxed residential character.
  • B. Summerland
    "Summerland" is a fantasy novel by Michael Chabon that blends baseball, American folklore, and a coming-of-age quest across parallel worlds.
  • C. Summerland chosen
    Summerland is a small town in British Columbia’s Okanagan Valley known for its orchards, wineries, and scenic lakeside setting.
  • D. Summerland Hotel
    Summerland Hotel was a prominent hotel that became notable for its role in the historic Battle of the Hotels.
  • E. Paradise Waters
    Paradise Waters is an affluent waterfront suburb on the Gold Coast in Queensland, Australia, known for its canal estates and luxury homes along the Nerang River.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6ff4a7c8190ab7554f3a1a09b67 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bf136e88190b3d812f50233c640 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:52 a.m.