Triple

T15049848
Position Surface form Disambiguated ID Type / Status
Subject Harzer Schmalspurbahnen E379330 entity
Predicate abbreviation P43 FINISHED
Object HSB E379330 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: HSB | Statement: [Harzer Schmalspurbahnen, abbreviation, HSB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HSB
Context triple: [Harzer Schmalspurbahnen, abbreviation, HSB]
  • A. HSB
    HSB is a specialty insurance and engineering services company best known for its expertise in equipment breakdown coverage and risk management solutions.
  • B. HSB chosen
    HSB is a historic narrow-gauge railway network in Germany’s Harz mountains, popular for its steam-powered tourist trains and scenic routes.
  • C. HSB
    HSB is the National Rail station code for Helsby railway station in Cheshire, England.
  • D. HSL
    HSL is the public transport authority responsible for planning and organizing bus, tram, metro, commuter rail, and ferry services in the Helsinki metropolitan area of Finland.
  • E. HSL
    HSL is the three-letter National Rail station code for Haslemere railway station in Surrey, England.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8f71988190b4fe7f7de4ccb798 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b96ae08190b15873634b67e8d9 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.