Triple

T14028540
Position Surface form Disambiguated ID Type / Status
Subject Hadeland E337526 entity
Predicate hasSettlement P1068 FINISHED
Object Jaren E599685 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: Jaren | Statement: [Hadeland, hasSettlement, Jaren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaren
Context triple: [Hadeland, hasSettlement, Jaren]
  • A. Jaren chosen
    Jaren is a village and transport hub in Gran municipality in Innlandet county, Norway, serving as a stop on the rail line north of Oslo.
  • B. Jahren
    Jahren is a surname most notably associated with Hope Jahren, an American geochemist, geobiologist, and author known for her work on plant science and her memoir "Lab Girl."
  • C. Yillah
    Yillah is a mysterious, ethereal woman who serves as a symbolic and spiritual figure in Herman Melville’s novel "Mardi."
  • D. Yearby
    Yearby is a small village in the borough of Redcar and Cleveland in North Yorkshire, England.
  • E. Jann
    Jann is a given name most notably associated with Jann Wenner, the co-founder and longtime publisher of Rolling Stone magazine.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc335a474819084c310b10e0ded9a completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.