Triple

T15105924
Position Surface form Disambiguated ID Type / Status
Subject European route E40 E360786 entity
Predicate endsIn P1673 FINISHED
Object Ridder
Ridder is a city in northeastern Kazakhstan, known as a mining and industrial center in the Altai Mountains near the border with Russia.
E1136328 NE FINISHED

How this triple was built (4 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: Ridder | Statement: [European route E40, endsIn, Ridder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ridder
Context triple: [European route E40, endsIn, Ridder]
  • A. Ritter
    Ritter is a historical German noble title roughly equivalent to a knight, traditionally ranking below a baron in the aristocratic hierarchy.
  • B. Ritter
    Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
  • C. Ritter
    Ritter is a small lunar impact crater located on the western edge of Mare Tranquillitatis on the Moon.
  • D. Leiningen
    Leiningen is a popular build automation and project management tool for the Clojure programming language, used to manage dependencies, run tasks, and streamline development workflows.
  • E. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ridder
Triple: [European route E40, endsIn, Ridder]
Generated description
Ridder is a city in northeastern Kazakhstan, known as a mining and industrial center in the Altai Mountains near the border with Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ridder
Target entity description: Ridder is a city in northeastern Kazakhstan, known as a mining and industrial center in the Altai Mountains near the border with Russia.
  • A. Ritter
    Ritter is a historical German noble title roughly equivalent to a knight, traditionally ranking below a baron in the aristocratic hierarchy.
  • B. Ritter
    Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
  • C. Ritter
    Ritter is a small lunar impact crater located on the western edge of Mare Tranquillitatis on the Moon.
  • D. Leiningen
    Leiningen is a popular build automation and project management tool for the Clojure programming language, used to manage dependencies, run tasks, and streamline development workflows.
  • E. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • F. None of above. chosen

Provenance (5 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00588f35481909674f161bf0f3918 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae28e99881908156909e553c2538 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaf39ddec81908da194211b2d0994 completed May 9, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_69feafce7fa081908bc6167970f1822f completed May 9, 2026, 3:53 a.m.
Created at: April 10, 2026, 3:05 a.m.