Triple

T16536301
Position Surface form Disambiguated ID Type / Status
Subject Stendal E401699 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SDL E785898 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: SDL | Statement: [Stendal, vehicleRegistrationCode, SDL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SDL
Context triple: [Stendal, vehicleRegistrationCode, SDL]
  • A. SDL
    SDL is the National Rail station code for Sandhills railway station in Liverpool, England.
  • B. SDL
    SDL (Simple DirectMedia Layer) is a cross-platform multimedia library commonly used for handling graphics, audio, and input in games and other interactive applications.
  • C. SDL chosen
    SDL is the vehicle registration code used on license plates for vehicles registered in the Havelberg area of Germany.
  • D. Glew
    Glew is a town in the southern Greater Buenos Aires area of Argentina that serves as a stop on the Roca Line suburban railway network.
  • E. DirectX
    DirectX is a collection of application programming interfaces (APIs) developed by Microsoft that enables high-performance handling of graphics, sound, and other multimedia tasks, especially for games, on Windows platforms.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006094dee481908757b84c10d0dc19 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:15 a.m.