Triple

T11379102
Position Surface form Disambiguated ID Type / Status
Subject Saint-Sulpice metro station E269544 entity
Predicate networkMapCode P57366 FINISHED
Object M4
M4 is one of the main lines of the Paris Métro, running north–south across the city and serving several central and historically significant stations.
E922288 NE FINISHED

How this triple was built (5 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: [Saint-Sulpice metro station, networkMapCode, M4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M4
Context triple: [Saint-Sulpice metro station, networkMapCode, 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 one of the lines of the Bucharest Metro rapid transit system, serving several northern and northwestern districts of Romania’s capital.
  • D. 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.
  • E. M4
    M4 is a driverless metro line in the Copenhagen Metro system that serves key waterfront and urban development areas of the city.
  • 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: [Saint-Sulpice metro station, networkMapCode, M4]
Generated description
M4 is one of the main lines of the Paris Métro, running north–south across the city and serving several central and historically significant stations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M4
Target entity description: M4 is one of the main lines of the Paris Métro, running north–south across the city and serving several central and historically significant stations.
  • 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. M4
    M4 is one of the lines of the Bucharest Metro rapid transit system, serving several northern and northwestern districts of Romania’s capital.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: networkMapCode
Context triple: [Saint-Sulpice metro station, networkMapCode, M4]
  • A. networkMapName
    Indicates the designated name or label assigned to a particular network map within a system or context.
  • B. networkMapGroup
    Indicates a grouping relationship where multiple network elements are organized or associated together within a defined network map or topology group.
  • C. networkCode chosen
    Indicates that an entity is associated with, identified by, or operates under a specific network code within a communication or organizational network.
  • D. networkModel
    Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
  • E. networkType
    Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
  • F. None of above.

Provenance (6 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c8fb948190be87cca65c3b74e1 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56aaa5c9081909f89cfe6a8fc03f0 completed April 19, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69d7e7022d508190996f9be0847c2b41 completed April 9, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:33 p.m.