Triple

T19257325
Position Surface form Disambiguated ID Type / Status
Subject There and Back E481548 entity
Predicate hasTrack P3284 FINISHED
Object The Golden Road 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: The Golden Road | Statement: [There and Back, hasTrack, The Golden Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Golden Road
Context triple: [There and Back, hasTrack, The Golden Road]
  • A. The Golden Road chosen
    The Golden Road is a 1913 coming-of-age novel by Canadian author L. M. Montgomery that continues the adventures of a group of imaginative children in rural Prince Edward Island.
  • B. The Golden Road
    The Golden Road is a scenic cultural and culinary tourist route in Inderøy, Norway, known for its local food producers, art galleries, and picturesque rural landscapes.
  • C. Golden Road
    Golden Road is an ancient trackway crossing the Preseli Hills in Wales, historically used as a route for travel and trade.
  • D. Golden Road
    Golden Road is a breakthrough country music album by Australian singer-songwriter Keith Urban that helped cement his mainstream success in the early 2000s.
  • E. Magic Road
    Magic Road is a themed area or pathway within Penny's Bay, likely associated with the nearby Hong Kong Disneyland Resort and designed to enhance the park's immersive experience.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb862f848190977987e0327ce41d completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.