Triple

T3890321
Position Surface form Disambiguated ID Type / Status
Subject LGV Est européenne E88044 entity
Predicate serves P98 FINISHED
Object Zurich
Zurich is Switzerland’s largest city and a major global financial and transportation hub located on the northern shore of Lake Zurich.
 E13407 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: Zurich | Statement: [LGV Est européenne, serves, Zurich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zurich
Context triple: [LGV Est européenne, serves, Zurich]
  • A. Zurich
    Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
  • B. Geneva
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • C. Geneva
    Geneva is a small city in northeastern Ohio situated along Lake Erie, known for its wineries, tourism, and location within the Rust Belt region.
  • D. Geneva
    Geneva is a small city in New York's Finger Lakes region, known for its lakeside setting on Seneca Lake and its historic colleges and wineries.
  • E. Lausanne
    Lausanne is a major Swiss city on the shores of Lake Geneva, known for hosting the International Olympic Committee and its vibrant cultural and academic institutions.
  • 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: Zurich
Triple: [LGV Est européenne, serves, Zurich]
Generated description
Zurich is Switzerland’s largest city and a major global financial and transportation hub located on the northern shore of Lake Zurich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zurich
Target entity description: Zurich is Switzerland’s largest city and a major global financial and transportation hub located on the northern shore of Lake Zurich.
  • A. Zurich chosen
    Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
  • B. Geneva
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • C. Geneva
    Geneva is a small city in northeastern Ohio situated along Lake Erie, known for its wineries, tourism, and location within the Rust Belt region.
  • D. Geneva
    Geneva is a small city in New York's Finger Lakes region, known for its lakeside setting on Seneca Lake and its historic colleges and wineries.
  • E. Lausanne
    Lausanne is a major Swiss city on the shores of Lake Geneva, known for hosting the International Olympic Committee and its vibrant cultural and academic institutions.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecb0ba448190aa076865b7762002 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6720949bc8190923e135c80185504 completed March 15, 2026, 8:47 a.m.
NEDg Description generation batch_69b67291bcdc819098131e1ba98eaf6d completed March 15, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69b6730133c081908a5243236dfc3094 completed March 15, 2026, 8:51 a.m.
Created at: March 9, 2026, 3:21 p.m.