Triple

T22733656
Position Surface form Disambiguated ID Type / Status
Subject Orem FrontRunner station E562205 entity
Predicate servesCommutersFrom P3745 FINISHED
Object Orem 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: Orem | Statement: [Orem FrontRunner station, servesCommutersFrom, Orem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orem
Context triple: [Orem FrontRunner station, servesCommutersFrom, Orem]
  • A. Orem chosen
    Orem is a city in northern Utah known for its family-friendly suburbs, proximity to Provo, and the presence of Utah Valley University.
  • B. Harlow
    Harlow is a town in Essex, England, known as a post-war New Town with significant residential, commercial, and industrial development.
  • C. Harlow
    Harlow is a 1965 biographical drama film about the life and career of Hollywood actress Jean Harlow.
  • D. Oreston
    Oreston is a suburban district of Plymouth in Devon, England, known for its riverside location and maritime character.
  • E. Overton
    Overton is a small unincorporated community in southeastern Nevada known as a gateway to the nearby Lake Mead National Recreation Area and the Valley of Fire State Park.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796e4970819090fb9c9926673938 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:22 p.m.