Triple

T24497737
Position Surface form Disambiguated ID Type / Status
Subject Connexxion E617839 entity
Predicate operatesBusConcession P81300 FINISHED
Object Amstelland–Meerlanden
Amstelland–Meerlanden is a public transport concession area in the Netherlands encompassing parts of the Amsterdam metropolitan region, including Schiphol Airport and surrounding municipalities.
 E1677993 NE FINISHED

How this triple was built (3 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: Amstelland–Meerlanden | Statement: [Connexxion, operatesBusConcession, Amstelland–Meerlanden]
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: Amstelland–Meerlanden
Triple: [Connexxion, operatesBusConcession, Amstelland–Meerlanden]
Generated description
Amstelland–Meerlanden is a public transport concession area in the Netherlands encompassing parts of the Amsterdam metropolitan region, including Schiphol Airport and surrounding municipalities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: operatesBusConcession
Context triple: [Connexxion, operatesBusConcession, Amstelland–Meerlanden]
  • A. hasBusOperator
    Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
  • B. operatesTransitSystem chosen
    Indicates that one entity manages and runs the public transportation network or services for another entity or area.
  • C. tramOperator
    Indicates that one entity operates, manages, or runs tram services for another entity or area.
  • D. operatedPassengerServices
    Indicates that an entity provided and managed transportation services specifically for carrying passengers.
  • E. operateIn
    Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
  • 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_69e2d7f682108190a1a7ca5fd485ee8a completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a9d912e88190bc39c05a9d7f407e completed April 30, 2026, 1:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10894db5888190a0a9d72aff207700 completed May 22, 2026, 4:50 p.m.
NEDg Description generation batch_6a108a429fd4819086b842d38c777075 completed May 22, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_6a108ad0b48c8190b31b28d870e3b200 completed May 22, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69f2a6a4580481908fddc385f5262f95 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:22 a.m.