Triple

T19541918
Position Surface form Disambiguated ID Type / Status
Subject Sevelen E488926 entity
Predicate region P40 FINISHED
Object Werdenberg 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: Werdenberg | Statement: [Sevelen, region, Werdenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Werdenberg
Context triple: [Sevelen, region, Werdenberg]
  • A. Werdenberg chosen
    Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
  • B. Sampaio
    Sampaio is a Portuguese surname borne by various notable figures in fields such as politics, sports, and entertainment.
  • C. Barreto
    Barreto is a Portuguese-origin surname common in Brazil and other Lusophone countries, borne by numerous notable figures in fields such as film, literature, and politics.
  • D. Dos Santos
    Dos Santos is a common Portuguese-language surname, especially prevalent in Brazil and other Lusophone countries.
  • E. Cravalho
    Cravalho is the surname of Auliʻi Cravalho, the American actress and singer best known as the voice of Disney’s Moana.
  • 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_69e6387442588190a2cdae60a6a940d6 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.