Triple

T22794032
Position Surface form Disambiguated ID Type / Status
Subject Highway 101 (Ontario) E564191 entity
Predicate servesCommunity P82 FINISHED
Object Foleyet 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: Foleyet | Statement: [Highway 101 (Ontario), servesCommunity, Foleyet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foleyet
Context triple: [Highway 101 (Ontario), servesCommunity, Foleyet]
  • A. Foleyet chosen
    Foleyet is a small rural community in northeastern Ontario, Canada, known as a remote stop along the Canadian National Railway and a gateway to surrounding lakes and wilderness.
  • B. Frua
    Frua is an Italian surname most notably associated with Pietro Frua, a renowned 20th-century automobile designer and coachbuilder.
  • C. Faraulep
    Faraulep is a small atoll and municipality in the Federated States of Micronesia, located in the western Pacific Ocean as part of Yap State.
  • D. Fais
    Fais is a short, familiar form of the given name Faisal, commonly used as a nickname.
  • E. Fassan
    Fassan is a variant name for the Ladin language spoken in the Fassa Valley of northern Italy.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd81794819091b528600e322d7b completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.