Triple

T6938199
Position Surface form Disambiguated ID Type / Status
Subject Bucharest Metro E160604 entity
Predicate hasLine P35 FINISHED
Object M4
M4 is one of the lines of the Bucharest Metro rapid transit system, serving several northern and northwestern districts of Romania’s capital.
 E629459 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: [Bucharest Metro, hasLine, M4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M4
Context triple: [Bucharest 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. M4
    M4 is a driverless metro line in the Copenhagen Metro system that serves key waterfront and urban development areas of the city.
  • E. M40
    M40 is a major British motorway linking London with Birmingham and the West Midlands.
  • 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: [Bucharest Metro, hasLine, M4]
Generated description
M4 is one of the lines of the Bucharest Metro rapid transit system, serving several northern and northwestern districts of Romania’s capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M4
Target entity description: M4 is one of the lines of the Bucharest Metro rapid transit system, serving several northern and northwestern districts of Romania’s capital.
  • 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. M4
    M4 is a driverless metro line in the Copenhagen Metro system that serves key waterfront and urban development areas of the city.
  • E. M40
    M40 is a major British motorway linking London with Birmingham and the West Midlands.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da62d2f88190968d3fea538a95c9 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515509148190b5739cdf8cd7a28a completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c752c9b3d08190960d3c1aa88a93a7 completed March 28, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69c7537ea24c819081bb672d43d4a373 completed March 28, 2026, 4:05 a.m.
Created at: March 27, 2026, 2:28 p.m.