Triple

T19664350
Position Surface form Disambiguated ID Type / Status
Subject New Morning E472162 entity
Predicate hasTrack P3284 FINISHED
Object Winterlude 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: Winterlude | Statement: [New Morning, hasTrack, Winterlude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winterlude
Context triple: [New Morning, hasTrack, Winterlude]
  • A. Winterlude chosen
    Winterlude is an annual winter festival in Ottawa–Gatineau known for its ice sculptures, outdoor skating, and cold-weather celebrations.
  • B. Winter Loversland
    Winter Loversland is a Christmas-themed studio album by American R&B singer Tamar Braxton, featuring contemporary renditions of holiday classics and original festive songs.
  • C. Snowfest
    Snowfest is an annual winter festival in Frankenmuth, Michigan, best known for its large-scale snow and ice sculpting competitions and family-friendly seasonal activities.
  • D. Winterfest
    Winterfest is an annual winter-themed festival in Seattle featuring seasonal activities, performances, and family-friendly entertainment.
  • E. Winterfest
    Winterfest is a popular seasonal winter festival and ice-skating experience held at Philadelphia’s Blue Cross RiverRink, featuring holiday-themed activities, food, and entertainment.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416749d48190b141a6acd20c9694 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.