Triple

T15994771
Position Surface form Disambiguated ID Type / Status
Subject Piața Unirii metro station E387933 entity
Predicate servesMetroLine P6301 FINISHED
Object M1
M1 is one of the main lines of the Bucharest Metro system, running in a loop-like route that connects several key central and peripheral areas of the city.
 E629456 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: M1 | Statement: [Piața Unirii metro station, servesMetroLine, M1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M1
Context triple: [Piața Unirii metro station, servesMetroLine, M1]
  • A. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • B. M1
    M1 is one of the main lines of the Copenhagen Metro, providing rapid transit service through central Copenhagen and connecting key residential and commercial areas.
  • C. M1
    M1 is a major north–south urban freeway in Johannesburg, South Africa, connecting the city center with key suburbs and routes.
  • D. M1
    M1 is the main primary mirror of the Extremely Large Telescope, responsible for collecting and focusing incoming light for its observations.
  • E. M1
    M1 is a major Irish motorway that connects Dublin to the border with Northern Ireland, forming part of the primary route between the Republic of Ireland and Belfast.
  • 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: M1
Triple: [Piața Unirii metro station, servesMetroLine, M1]
Generated description
M1 is one of the main lines of the Bucharest Metro system, running in a loop-like route that connects several key central and peripheral areas of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M1
Target entity description: M1 is one of the main lines of the Bucharest Metro system, running in a loop-like route that connects several key central and peripheral areas of the city.
  • A. M1 chosen
    M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
  • B. M1
    M1 is one of the main lines of the Copenhagen Metro, providing rapid transit service through central Copenhagen and connecting key residential and commercial areas.
  • C. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • D. M1
    M1 is a light metro line in Lausanne, Switzerland, connecting the city center with the university and lakeside areas.
  • E. M1
    M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15785fad48190af0556e7ddfd29c5 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d5d72081908aa235c5ad9b5707 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc5444c1c8190854de5575b9ec1c5 completed May 9, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5b95290819098b28c44c22b2799 completed May 9, 2026, 11:39 p.m.
Created at: April 10, 2026, 4:55 a.m.