Triple

T15646420
Position Surface form Disambiguated ID Type / Status
Subject Eastern Airways E376187 entity
Predicate operatesRoute P3695 FINISHED
Object Cardiff–Paris
Cardiff–Paris is a regional air route linking the capital of Wales with the capital of France.
 E1169339 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: Cardiff–Paris | Statement: [Eastern Airways, operatesRoute, Cardiff–Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cardiff–Paris
Context triple: [Eastern Airways, operatesRoute, Cardiff–Paris]
  • A. London–Cardiff
    London–Cardiff is a major intercity travel corridor in the United Kingdom linking the capital city of London with the Welsh capital, Cardiff.
  • B. London–Paris
    London–Paris is a major international rail route connecting the capitals of the United Kingdom and France via the Channel Tunnel.
  • C. London–Lyon
    London–Lyon is an international high-speed rail route linking the United Kingdom’s capital with the major city of Lyon in east-central France.
  • D. London–Marseille
    London–Marseille is a cross-European rail route linking the United Kingdom’s capital with the major port city in southern France, popular for leisure and holiday travel.
  • E. New York–Paris
    New York–Paris is a major transatlantic air route connecting the United States and France, linking New York City with the French capital.
  • 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: Cardiff–Paris
Triple: [Eastern Airways, operatesRoute, Cardiff–Paris]
Generated description
Cardiff–Paris is a regional air route linking the capital of Wales with the capital of France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cardiff–Paris
Target entity description: Cardiff–Paris is a regional air route linking the capital of Wales with the capital of France.
  • A. London–Cardiff
    London–Cardiff is a major intercity travel corridor in the United Kingdom linking the capital city of London with the Welsh capital, Cardiff.
  • B. London–Paris
    London–Paris is a major international rail route connecting the capitals of the United Kingdom and France via the Channel Tunnel.
  • C. London–Lyon
    London–Lyon is an international high-speed rail route linking the United Kingdom’s capital with the major city of Lyon in east-central France.
  • D. London–Marseille
    London–Marseille is a cross-European rail route linking the United Kingdom’s capital with the major port city in southern France, popular for leisure and holiday travel.
  • E. New York–Paris
    New York–Paris is a major transatlantic air route connecting the United States and France, linking New York City with the French capital.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff6883b5048190b64e4361bc89dd80 completed May 9, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff6911a76c819088c8a86d2106b6c6 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:15 a.m.