Triple

T3336720
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Switzerland E70155 entity
Predicate includesCanton P5501 FINISHED
Object Uri E256636 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: Uri | Statement: [German-speaking Switzerland, includesCanton, Uri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uri
Context triple: [German-speaking Switzerland, includesCanton, Uri]
  • A. Uri chosen
    Uri is a historic Swiss canton in central Switzerland, known as one of the founding members of the Swiss Confederation.
  • B. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • C. URL Standard
    The URL Standard is a technical specification by the WHATWG that defines how URLs are parsed, processed, and handled consistently across web browsers and platforms.
  • D. Uras
    Uras is a Mesopotamian goddess associated with the earth and sometimes identified with the goddess Ki, known primarily as the consort of the sky god Anu.
  • E. Uniform Resource Name
    A Uniform Resource Name (URN) is a type of persistent, location-independent identifier used to uniquely name resources on the internet without specifying how to access them.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bad97481909359e914d44a1a74 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a8ad1a8819081d7ad2a48e2c5b9 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.