Triple

T8780268
Position Surface form Disambiguated ID Type / Status
Subject UCI Mountain Bike World Cup (Nevis Range) E208707 entity
Predicate shortName P43 FINISHED
Object Fort William World Cup E80405 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: Fort William World Cup | Statement: [UCI Mountain Bike World Cup (Nevis Range), shortName, Fort William World Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort William World Cup
Context triple: [UCI Mountain Bike World Cup (Nevis Range), shortName, Fort William World Cup]
  • A. The Big White
    The Big White is a 2005 dark comedy crime film starring Robin Williams as a desperate travel agent who becomes entangled in an insurance fraud scheme in snowy Alaska.
  • B. Whistler
    Whistler is a renowned resort town in British Columbia, Canada, famous for its world-class skiing, mountain biking, and outdoor recreation.
  • C. Whistler
    Whistler is a small unincorporated community located in Mobile County, Alabama, known historically as a railroad town.
  • D. Whistler
    Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
  • E. Fort William chosen
    Fort William is a historic urban area in Thunder Bay, Ontario, known for its origins as a fur trade and transportation hub on Lake Superior.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f548aa48190b2e73f292758e361 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51df4a608190883a093dbd169976 completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.