Triple

T19537961
Position Surface form Disambiguated ID Type / Status
Subject Thun Panorama E488815 entity
Predicate depicts P1581 FINISHED
Object city of Thun 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: city of Thun | Statement: [Thun Panorama, depicts, city of Thun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Thun
Context triple: [Thun Panorama, depicts, city of Thun]
  • A. city of Thun chosen
    The city of Thun is a picturesque Swiss town in the canton of Bern, known for its historic old town, lakeside setting on Lake Thun, and views of the surrounding Alps.
  • B. Thun Old Town
    Thun Old Town is the historic medieval center of Thun, Switzerland, known for its cobbled streets, riverside setting, and landmark hilltop castle.
  • C. Stadt Winterthur
    Stadt Winterthur is the municipal government of the Swiss city of Winterthur, responsible for local administration, public services, and cultural institutions.
  • D. City of Lucerne
    The City of Lucerne is a historic Swiss city and member of the Old Swiss Confederacy, known for its strategic location by Lake Lucerne and its role in late medieval conflicts such as the Burgundian Wars.
  • E. Murten
    Murten is a historic bilingual town in the canton of Fribourg, Switzerland, known for its well-preserved medieval old town and lakeside setting on Lake Murten.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6386fd12c81908eb5f1ef63b77156 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.