Triple

T8854439
Position Surface form Disambiguated ID Type / Status
Subject Sloterdijk station E210718 entity
Predicate busOperator P14541 FINISHED
Object EBS E617838 NE FINISHED

How this triple was built (2 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: EBS | Statement: [Sloterdijk station, busOperator, EBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EBS
Context triple: [Sloterdijk station, busOperator, EBS]
  • A. EBS chosen
    EBS is a Dutch public transport company that operates bus services in and around Amsterdam and other regions in the Netherlands.
  • B. Amazon EBS
    Amazon EBS is a scalable, high-performance block storage service used with Amazon EC2 instances for persistent data storage in the AWS cloud.
  • C. Amazon EFS
    Amazon EFS is a fully managed, scalable, cloud-native file storage service that provides shared, elastic file systems for use with AWS compute resources.
  • D. ECS
    ECS is the abbreviation for the Patriot missile system’s Engagement Control Station, the command and control center that manages and directs air and missile defense engagements.
  • E. ECS
    ECS (Enhanced Chip Set) is an improved version of the Amiga computer’s original graphics and system chipset, offering expanded display modes and hardware capabilities over its predecessor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c6dce88190b175698b191fb89b completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09557dc81908b5690bf5c392528 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.