Triple

T8146358
Position Surface form Disambiguated ID Type / Status
Subject Utah Valley E190220 entity
Predicate secondLargestCity P2968 FINISHED
Object Orem E134038 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: Orem | Statement: [Utah Valley, secondLargestCity, Orem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orem
Context triple: [Utah Valley, secondLargestCity, 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. 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.
  • E. Berkelland
    Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4447dbc48190affb0f34f6c85f5a completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbedc48108190bcf98a82b9625250 completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:36 p.m.