Triple

T13853364
Position Surface form Disambiguated ID Type / Status
Subject Øyer municipality E332999 entity
Predicate administrativeCentre P1474 FINISHED
Object Tretten E437284 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: Tretten | Statement: [Øyer municipality, administrativeCentre, Tretten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tretten
Context triple: [Øyer municipality, administrativeCentre, Tretten]
  • A. Tretten chosen
    Tretten is a village in Innlandet county, Norway, known as the main settlement in the Øyer municipality along the Gudbrandsdalslågen river.
  • B. Treiten
    Treiten is a small municipality in the canton of Bern in Switzerland, known for its rural character and agricultural surroundings.
  • C. Tretes
    Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
  • D. Pjätteryd
    Pjätteryd is a small locality in southern Sweden, situated within Älmhult Municipality in Kronoberg County.
  • E. Trenyce
    Trenyce is an American singer and actress best known for gaining national recognition as a standout finalist on the second season of American Idol.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f924808190856dd0116962eda7 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.