Triple

T2400513
Position Surface form Disambiguated ID Type / Status
Subject Warsaw Metro E47755 entity
Predicate hasLine P35 FINISHED
Object M2
M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
 E262761 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: M2 | Statement: [Warsaw Metro, hasLine, M2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M2
Context triple: [Warsaw Metro, hasLine, M2]
  • A. M2
    M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • B. M2
    M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
  • C. M3
    M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
  • D. M3
    M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
  • E. M20
    M20 is a major motorway in South East England connecting London to the Channel Tunnel and the port of Dover.
  • 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: M2
Triple: [Warsaw Metro, hasLine, M2]
Generated description
M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M2
Target entity description: M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
  • A. M2
    M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • B. M2
    M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
  • C. M3
    M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
  • D. M3
    M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
  • E. M20
    M20 is a major motorway in South East England connecting London to the Channel Tunnel and the port of Dover.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c95d8c819088e4bb4fb32452ae completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e319c481908537fe278f6f0a67 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b942b08190addc2885fbda0e41 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb557247c8190920ce3a5db388800 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:57 p.m.