Triple

T4447125
Position Surface form Disambiguated ID Type / Status
Subject Air Union E96315 entity
Predicate operatedRoute P18593 FINISHED
Object Paris–Warsaw
Paris–Warsaw was an international air route linking the capitals of France and Poland, historically served by the French airline Air Union.
 E440972 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: Paris–Warsaw | Statement: [Air Union, operatedRoute, Paris–Warsaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris–Warsaw
Context triple: [Air Union, operatedRoute, Paris–Warsaw]
  • A. Warsaw
    Warsaw is the capital and largest city of Poland, known for its resilient history, especially its near-total destruction in World War II and subsequent postwar reconstruction.
  • B. Moscow–Paris
    Moscow–Paris is a major international air route linking the capitals of Russia and France.
  • C. Brest
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • D. Moscow–Prague
    Moscow–Prague is an international air route connecting the capitals of Russia and the Czech Republic.
  • E. Paris–Brussels
    Paris–Brussels is a major international high-speed rail corridor linking the capitals of France and Belgium.
  • 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: Paris–Warsaw
Triple: [Air Union, operatedRoute, Paris–Warsaw]
Generated description
Paris–Warsaw was an international air route linking the capitals of France and Poland, historically served by the French airline Air Union.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paris–Warsaw
Target entity description: Paris–Warsaw was an international air route linking the capitals of France and Poland, historically served by the French airline Air Union.
  • A. Warsaw
    Warsaw is the capital and largest city of Poland, known for its resilient history, especially its near-total destruction in World War II and subsequent postwar reconstruction.
  • B. Moscow–Paris
    Moscow–Paris is a major international air route linking the capitals of Russia and France.
  • C. Brest
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • D. Moscow–Prague
    Moscow–Prague is an international air route connecting the capitals of Russia and the Czech Republic.
  • E. Paris–Brussels
    Paris–Brussels is a major international high-speed rail corridor linking the capitals of France and Belgium.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d31e10819086590b9f828d50b0 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61386df48819080e44a23b9d67d23 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b617c13d4481909d22d201ce405d3a completed March 15, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69b6187687f8819084e2d611e9e31f79 completed March 15, 2026, 2:24 a.m.
Created at: March 12, 2026, 11:32 p.m.