Triple

T20788273
Position Surface form Disambiguated ID Type / Status
Subject Rasender Roland E511698 entity
Predicate hasStation P35 FINISHED
Object Binz LB 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: Binz LB | Statement: [Rasender Roland, hasStation, Binz LB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binz LB
Context triple: [Rasender Roland, hasStation, Binz LB]
  • A. Binz chosen
    Binz is a popular seaside resort town on the German island of Rügen, known for its sandy beaches and historic resort architecture.
  • B. Min Bin
    Min Bin was a powerful 16th-century king of the Arakanese Kingdom of Mrauk U, known for expanding its territory and turning it into a major regional maritime power.
  • C. Myles Gonangnan
    Myles Gonangnan was a key Native Alaskan musher who participated in the 1925 serum run to Nome, helping relay life-saving diphtheria antitoxin across the Alaskan wilderness.
  • D. Limal
    Limal is a residential district and former village within the city of Wavre in Walloon Brabant, Belgium.
  • E. Linzi
    Linzi was the prominent ancient Chinese city that served as the political, economic, and cultural center of the powerful State of Qi during the Zhou dynasty.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28dfb8c8190a10289c157a61c67 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.