Triple

T20775317
Position Surface form Disambiguated ID Type / Status
Subject Tost E511339 entity
Predicate hasGermanName P1435 FINISHED
Object Tost 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: Tost | Statement: [Tost, hasGermanName, Tost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tost
Context triple: [Tost, hasGermanName, Tost]
  • A. Tost chosen
    Tost is a town in present-day Toszek, Poland, historically part of Upper Silesia.
  • B. Tosters
    Tosters is a district of the city of Feldkirch in the Austrian state of Vorarlberg, known as a residential area near the border with Liechtenstein and Switzerland.
  • C. Tostedt
    Tostedt is a small municipality in Lower Saxony, Germany, located southwest of Hamburg.
  • D. Tosterön
    Tosterön is an island in Lake Mälaren in central Sweden, known for its natural landscapes and proximity to the town of Strängnäs.
  • E. Tofol
    Tofol is the administrative center and main town of Kosrae State in the Federated States of Micronesia.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26b06ac81909aef3b0a0ad79a33 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.