Triple

T3220437
Position Surface form Disambiguated ID Type / Status
Subject Copenhagen Metro E67498 entity
Predicate hasLine P35 FINISHED
Object M4
M4 is a driverless metro line in the Copenhagen Metro system that serves key waterfront and urban development areas of the city.
 E338240 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: M4 | Statement: [Copenhagen Metro, hasLine, M4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M4
Context triple: [Copenhagen Metro, hasLine, M4]
  • A. M4
    M4 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across Lake Geneva.
  • B. M4
    M4 is a general-purpose macro processing language and preprocessor commonly used in Unix-like build systems and tools such as GNU Autoconf.
  • C. M4
    M4 is a major British motorway that runs between London and South Wales, serving as a key route for traffic to and from the west of England.
  • D. M40
    M40 is a major British motorway linking London with Birmingham and the West Midlands.
  • E. M44
    M44 is an open star cluster in the constellation Cancer, also known as the Beehive Cluster or Praesepe, and is one of the nearest and most prominent clusters visible to the naked eye.
  • 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: M4
Triple: [Copenhagen Metro, hasLine, M4]
Generated description
M4 is a driverless metro line in the Copenhagen Metro system that serves key waterfront and urban development areas of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M4
Target entity description: M4 is a driverless metro line in the Copenhagen Metro system that serves key waterfront and urban development areas of the city.
  • A. M4
    M4 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across Lake Geneva.
  • B. M4
    M4 is a major British motorway that runs between London and South Wales, serving as a key route for traffic to and from the west of England.
  • C. M4
    M4 is a general-purpose macro processing language and preprocessor commonly used in Unix-like build systems and tools such as GNU Autoconf.
  • D. M40
    M40 is a major British motorway linking London with Birmingham and the West Midlands.
  • E. M44
    M44 is an open star cluster in the constellation Cancer, also known as the Beehive Cluster or Praesepe, and is one of the nearest and most prominent clusters visible to the naked eye.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae16f20081909d7f3bac016f961d completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2624a770881908f0a9415b6f74ee0 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b2662274988190ae62791744df0562 completed March 12, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69b266bf6bf48190a4480bf9a699dae8 completed March 12, 2026, 7:09 a.m.
Created at: March 8, 2026, 3:08 p.m.