Triple

T15026603
Position Surface form Disambiguated ID Type / Status
Subject Columbia Airport E378231 entity
Predicate region P40 FINISHED
Object Gold Country E50405 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: Gold Country | Statement: [Columbia Airport, region, Gold Country]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gold Country
Context triple: [Columbia Airport, region, Gold Country]
  • A. Gold Country chosen
    Gold Country is a historic region in California famed for its 19th-century Gold Rush sites, mining heritage, and preserved frontier towns.
  • B. Gold Rush Country
    Gold Rush Country is a themed area within the Dreamworld amusement park that recreates a gold-mining frontier atmosphere with related rides and attractions.
  • C. Goldfields
    Goldfields is a mineral-rich inland area of Western Australia historically known for its gold mining towns and significant contribution to the state’s mining industry.
  • D. Gold Mine Town
    Gold Mine Town is a themed attraction area in Shenzhen’s Happy Valley amusement park designed to resemble a historic gold-mining frontier town.
  • E. The Gold Town
    The Gold Town is a nickname for Skellefteå, a Swedish city historically associated with gold mining and rich mineral resources.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd746008190a7347368ee6d20cf completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.