Triple

T15234786
Position Surface form Disambiguated ID Type / Status
Subject Yellow Line (Budapest Metro) E364096 entity
Predicate shortName P43 FINISHED
Object M1
M1 is the historic Yellow Line of the Budapest Metro, renowned as one of the oldest underground railway lines in continental Europe.
 E353168 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: [Yellow Line (Budapest Metro), shortName, M1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M1
Context triple: [Yellow Line (Budapest Metro), shortName, 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: [Yellow Line (Budapest Metro), shortName, M1]
Generated description
M1 is the historic Yellow Line of the Budapest Metro, renowned as one of the oldest underground railway lines in continental Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M1
Target entity description: M1 is the historic Yellow Line of the Budapest Metro, renowned as one of the oldest underground railway lines in continental Europe.
  • A. M1 chosen
    M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
  • B. M1
    M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
  • C. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • D. 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.
  • E. M1
    M1 is a light metro line in Lausanne, Switzerland, connecting the city center with the university and lakeside areas.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d91e4881908ea52d11a3d4480a completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3dd5a081909a1a7fceda648c29 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fede8eed2c8190adb45306a1ec0faa completed May 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69fedef546708190bdeedd2c61fdbc86 completed May 9, 2026, 7:15 a.m.
Created at: April 10, 2026, 3:12 a.m.