Triple

T17498787
Position Surface form Disambiguated ID Type / Status
Subject Bennett, British Columbia E426140 entity
Predicate roleDuringGoldRush P10160 FINISHED
Object staging area for overland and water travel LITERAL 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: staging area for overland and water travel | Statement: [Bennett, British Columbia, roleDuringGoldRush, staging area for overland and water travel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleDuringGoldRush
Context triple: [Bennett, British Columbia, roleDuringGoldRush, staging area for overland and water travel]
  • A. roleInGoldRush chosen
    Indicates that an entity played a specific role or had a particular involvement in the historical event known as the Gold Rush.
  • B. roleInGameplay
    Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
  • C. roleInDUNE
    Indicates that an entity has a specific acting role or participation in the production of the film "Dune."
  • D. loreRole
    Indicates the specific narrative or canonical function an entity fulfills within a fictional or mythological lore.
  • E. roleDuringOccupation
    Indicates the specific role or position an entity held during a particular occupation or period of control.
  • F. None of above.

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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
PD Predicate disambiguation batch_69e3b4f5fbcc8190a6ea9639bf5650da completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:48 a.m.