Triple

T10934086
Position Surface form Disambiguated ID Type / Status
Subject Les Ulis E258282 entity
Predicate hasTwinTown P919 FINISHED
Object Schlieren
Schlieren is a municipality in the canton of Zurich in northern Switzerland, known as a suburban community within the Zurich metropolitan area.
 E82313 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: Schlieren | Statement: [Les Ulis, hasTwinTown, Schlieren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schlieren
Context triple: [Les Ulis, hasTwinTown, Schlieren]
  • A. Schlieren
    Schlieren is a municipality in the canton of Zurich in northern Switzerland, known as a suburban town within the Zurich metropolitan area.
  • B. Pleiße
    Pleiße is a river in eastern Germany that flows through the city of Leipzig and is a tributary of the White Elster.
  • C. Weissenberg
    Weissenberg is a small town in eastern Saxony, Germany, known historically for its proximity to the Napoleonic-era Battle of Bautzen.
  • D. Reichenbach
    Reichenbach is a German surname most notably associated with Hans Reichenbach, a prominent 20th-century philosopher of science and logical empiricist.
  • E. Seebach
    Seebach is a quarter in the northern part of Zurich, Switzerland, known for its residential areas and proximity to major transport links.
  • 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: Schlieren
Triple: [Les Ulis, hasTwinTown, Schlieren]
Generated description
Schlieren is a municipality in the canton of Zurich in northern Switzerland, known as a suburban community within the Zurich metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schlieren
Target entity description: Schlieren is a municipality in the canton of Zurich in northern Switzerland, known as a suburban community within the Zurich metropolitan area.
  • A. Schlieren chosen
    Schlieren is a municipality in the canton of Zurich in northern Switzerland, known as a suburban town within the Zurich metropolitan area.
  • B. Pleiße
    Pleiße is a river in eastern Germany that flows through the city of Leipzig and is a tributary of the White Elster.
  • C. Weissenberg
    Weissenberg is a small town in eastern Saxony, Germany, known historically for its proximity to the Napoleonic-era Battle of Bautzen.
  • D. Reichenbach
    Reichenbach is a German surname most notably associated with Hans Reichenbach, a prominent 20th-century philosopher of science and logical empiricist.
  • E. Seebach
    Seebach is a quarter in the northern part of Zurich, Switzerland, known for its residential areas and proximity to major transport links.
  • F. None of above.

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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ae073881909720febe9f5f296a completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2176328448190bbce6735ec97507a completed April 17, 2026, 11:20 a.m.
NEDg Description generation batch_69e21d8aea2881908ac8f5225b8739c5 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eb18a1881908ded331db89063ed completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:23 p.m.