Triple

T7099705
Position Surface form Disambiguated ID Type / Status
Subject Van der Madeweg E165423 entity
Predicate hasStationCode P1289 FINISHED
Object Vdm
Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
 E642751 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: Vdm | Statement: [Van der Madeweg, hasStationCode, Vdm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vdm
Context triple: [Van der Madeweg, hasStationCode, Vdm]
  • A. VDV
    VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • B. VOMM
    VOMM is the ICAO airport code for Chennai International Airport, a major aviation hub in southern India.
  • C. DMS
    DMS is the acronym for the Florida Department of Management Services, the state agency responsible for overseeing business, workforce, and support services for Florida’s government.
  • D. VMU
    The VMU (Visual Memory Unit) is a memory card and secondary screen accessory for the Sega Dreamcast that provides game save storage and mini-game functionality.
  • E. UDM
    UDM (Unified Data Management) is a 5G core network function responsible for managing subscriber data, authentication credentials, and subscription profiles across the mobile network.
  • 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: Vdm
Triple: [Van der Madeweg, hasStationCode, Vdm]
Generated description
Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vdm
Target entity description: Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
  • A. VDV
    VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • B. VOMM
    VOMM is the ICAO airport code for Chennai International Airport, a major aviation hub in southern India.
  • C. DMS
    DMS is the acronym for the Florida Department of Management Services, the state agency responsible for overseeing business, workforce, and support services for Florida’s government.
  • D. VMU
    The VMU (Visual Memory Unit) is a memory card and secondary screen accessory for the Sega Dreamcast that provides game save storage and mini-game functionality.
  • E. UDM
    UDM (Unified Data Management) is a 5G core network function responsible for managing subscriber data, authentication credentials, and subscription profiles across the mobile network.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e58531c88190a32746f9a97da709 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca6236c81908a7051bd00d0ca90 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79eb0d2cc8190a7f09708d8fa8cc0 completed March 28, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69c79f2d85388190b17dc918da7ae357 completed March 28, 2026, 9:28 a.m.
Created at: March 27, 2026, 2:42 p.m.