Triple

T15551472
Position Surface form Disambiguated ID Type / Status
Subject Széll Kálmán tér E370753 entity
Predicate metroLineServed P6301 FINISHED
Object M2
M2 is one of the main lines of the Budapest Metro, running east–west across the city and connecting several key transport hubs.
E1163588 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: [Széll Kálmán tér, metroLineServed, M2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M2
Context triple: [Széll Kálmán tér, metroLineServed, 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 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
  • C. M2
    M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
  • D. M2
    M2 is a central Manchester, England postcode district covering part of the city’s main commercial and business area.
  • E. M2
    M2 is a major motorway in Northern Ireland that forms part of the key route connecting Belfast with the northern part of the country.
  • 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: [Széll Kálmán tér, metroLineServed, M2]
Generated description
M2 is one of the main lines of the Budapest Metro, running east–west across the city and connecting several key transport hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M2
Target entity description: M2 is one of the main lines of the Budapest Metro, running east–west across the city and connecting several key transport hubs.
  • A. M2
    M2 is one of the main lines of the Bucharest Metro, running on a north–south axis and serving several of the city’s key residential and commercial areas.
  • B. 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.
  • C. M2
    M2 is one of the main lines of the Copenhagen Metro, connecting central Copenhagen with key districts and the airport.
  • D. M2
    M2 is a metro line in Lausanne, Switzerland, forming part of the city's urban rapid transit network.
  • E. 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.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4560008c81908ebd278c3dc45045 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff47aa0bb081908f67e9dae9bc7b27 completed May 9, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69ff480d81b881908eb3a51f1e7280b0 completed May 9, 2026, 2:43 p.m.
Created at: April 10, 2026, 4:08 a.m.